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QuAcc/out/rcv1_CCAT_all_mul_vs_atc/rcv1_CCAT_all_mul_vs_atc_f1.md

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outputs updated
2023-10-23 08:28:19 +02:00
rcv1_CCAT
> train: [0.09996662 0.90003338]
> validation: [0.09996662 0.90003338]
> evaluate_mul_sld: 80.667s
> evaluate_mul_sld_nbvs: 85.070s
> evaluate_mul_sld_bcts: 84.600s
> evaluate_mul_sld_ts: 83.671s
> evaluate_mul_sld_vs: 81.712s
> evaluate_mul_cc: 71.627s
> reference: 57.055s
> atc_mc: 59.720s
> atc_ne: 57.966s
> tot: 91.101s
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>mul_SLD</th>
<th>mul_SLD_nbvs</th>
<th>mul_SLD_bcts</th>
<th>mul_SLD_ts</th>
<th>mul_SLD_vs</th>
<th>mul_CC</th>
<th>atc_mc</th>
<th>atc_ne</th>
</tr>
</thead>
<tbody>
<tr>
<th>(1.0, 0.0)</th>
<td>0.0000</td>
<td>0.0001</td>
<td>0.0000</td>
<td>0.0000</td>
<td>0.0000</td>
<td>0.5619</td>
<td>0.4745</td>
<td>0.4745</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.1090</td>
<td>0.0567</td>
<td>0.0502</td>
<td>0.0795</td>
<td>0.0629</td>
<td>0.4846</td>
<td>0.4016</td>
<td>0.4016</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.1536</td>
<td>0.0562</td>
<td>0.0501</td>
<td>0.0789</td>
<td>0.0592</td>
<td>0.4180</td>
<td>0.3432</td>
<td>0.3432</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.1491</td>
<td>0.0508</td>
<td>0.0461</td>
<td>0.0712</td>
<td>0.0518</td>
<td>0.3608</td>
<td>0.2909</td>
<td>0.2909</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.1326</td>
<td>0.0422</td>
<td>0.0388</td>
<td>0.0591</td>
<td>0.0419</td>
<td>0.3128</td>
<td>0.2470</td>
<td>0.2470</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.1245</td>
<td>0.0413</td>
<td>0.0397</td>
<td>0.0563</td>
<td>0.0400</td>
<td>0.2676</td>
<td>0.2076</td>
<td>0.2076</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.1091</td>
<td>0.0346</td>
<td>0.0340</td>
<td>0.0466</td>
<td>0.0329</td>
<td>0.2320</td>
<td>0.1759</td>
<td>0.1759</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0975</td>
<td>0.0312</td>
<td>0.0314</td>
<td>0.0407</td>
<td>0.0286</td>
<td>0.1986</td>
<td>0.1487</td>
<td>0.1487</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0862</td>
<td>0.0276</td>
<td>0.0288</td>
<td>0.0353</td>
<td>0.0251</td>
<td>0.1700</td>
<td>0.1239</td>
<td>0.1239</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0707</td>
<td>0.0216</td>
<td>0.0231</td>
<td>0.0263</td>
<td>0.0191</td>
<td>0.1454</td>
<td>0.1027</td>
<td>0.1027</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0596</td>
<td>0.0185</td>
<td>0.0198</td>
<td>0.0208</td>
<td>0.0161</td>
<td>0.1214</td>
<td>0.0842</td>
<td>0.0842</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0526</td>
<td>0.0180</td>
<td>0.0196</td>
<td>0.0186</td>
<td>0.0153</td>
<td>0.1009</td>
<td>0.0659</td>
<td>0.0659</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0392</td>
<td>0.0128</td>
<td>0.0142</td>
<td>0.0113</td>
<td>0.0106</td>
<td>0.0827</td>
<td>0.0530</td>
<td>0.0530</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0357</td>
<td>0.0144</td>
<td>0.0160</td>
<td>0.0120</td>
<td>0.0117</td>
<td>0.0668</td>
<td>0.0392</td>
<td>0.0392</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0271</td>
<td>0.0122</td>
<td>0.0135</td>
<td>0.0085</td>
<td>0.0099</td>
<td>0.0524</td>
<td>0.0290</td>
<td>0.0290</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0193</td>
<td>0.0093</td>
<td>0.0107</td>
<td>0.0067</td>
<td>0.0074</td>
<td>0.0396</td>
<td>0.0196</td>
<td>0.0196</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0143</td>
<td>0.0089</td>
<td>0.0101</td>
<td>0.0051</td>
<td>0.0069</td>
<td>0.0287</td>
<td>0.0125</td>
<td>0.0125</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0096</td>
<td>0.0078</td>
<td>0.0089</td>
<td>0.0047</td>
<td>0.0061</td>
<td>0.0188</td>
<td>0.0061</td>
<td>0.0061</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0056</td>
<td>0.0065</td>
<td>0.0073</td>
<td>0.0042</td>
<td>0.0051</td>
<td>0.0094</td>
<td>0.0036</td>
<td>0.0036</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0038</td>
<td>0.0061</td>
<td>0.0069</td>
<td>0.0033</td>
<td>0.0048</td>
<td>0.0020</td>
<td>0.0069</td>
<td>0.0069</td>
</tr>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0020</td>
<td>0.0061</td>
<td>0.0065</td>
<td>0.0017</td>
<td>0.0052</td>
<td>0.0069</td>
<td>0.0123</td>
<td>0.0123</td>
</tr>
<tr>
<th>tot</th>
<td>0.0620</td>
<td>0.0230</td>
<td>0.0227</td>
<td>0.0281</td>
<td>0.0219</td>
<td>0.1753</td>
<td>0.1356</td>
<td>0.1356</td>
</tr>
</tbody>
</table>
![plot_delta](plot\delta_rcv1_CCAT_90_f1.png)
![plot_diagonal](plot\diagonal_rcv1_CCAT_90_f1.png)
![plot_shift](plot\shift_rcv1_CCAT_90_f1.png)
> train: [0.19993324 0.80006676]
> validation: [0.20010013 0.79989987]
> evaluate_mul_sld: 83.645s
> evaluate_mul_sld_nbvs: 83.775s
> evaluate_mul_sld_bcts: 85.033s
> evaluate_mul_sld_ts: 82.535s
> evaluate_mul_sld_vs: 81.965s
> evaluate_mul_cc: 70.455s
> reference: 56.854s
> atc_mc: 59.091s
> atc_ne: 57.585s
> tot: 88.539s
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>mul_SLD</th>
<th>mul_SLD_nbvs</th>
<th>mul_SLD_bcts</th>
<th>mul_SLD_ts</th>
<th>mul_SLD_vs</th>
<th>mul_CC</th>
<th>atc_mc</th>
<th>atc_ne</th>
</tr>
</thead>
<tbody>
<tr>
<th>(1.0, 0.0)</th>
<td>0.0000</td>
<td>0.0006</td>
<td>0.0015</td>
<td>0.0032</td>
<td>0.0000</td>
<td>0.5951</td>
<td>0.5459</td>
<td>0.5459</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.0886</td>
<td>0.0391</td>
<td>0.0162</td>
<td>0.0238</td>
<td>0.0681</td>
<td>0.4520</td>
<td>0.3941</td>
<td>0.3941</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.0677</td>
<td>0.0290</td>
<td>0.0180</td>
<td>0.0349</td>
<td>0.0511</td>
<td>0.3571</td>
<td>0.2954</td>
<td>0.2954</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.0512</td>
<td>0.0200</td>
<td>0.0152</td>
<td>0.0400</td>
<td>0.0406</td>
<td>0.2840</td>
<td>0.2206</td>
<td>0.2206</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.0349</td>
<td>0.0150</td>
<td>0.0140</td>
<td>0.0453</td>
<td>0.0283</td>
<td>0.2322</td>
<td>0.1701</td>
<td>0.1701</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0303</td>
<td>0.0148</td>
<td>0.0133</td>
<td>0.0415</td>
<td>0.0261</td>
<td>0.1876</td>
<td>0.1277</td>
<td>0.1277</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0257</td>
<td>0.0131</td>
<td>0.0116</td>
<td>0.0416</td>
<td>0.0209</td>
<td>0.1559</td>
<td>0.0994</td>
<td>0.0994</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0214</td>
<td>0.0128</td>
<td>0.0124</td>
<td>0.0380</td>
<td>0.0181</td>
<td>0.1295</td>
<td>0.0774</td>
<td>0.0774</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0172</td>
<td>0.0105</td>
<td>0.0106</td>
<td>0.0370</td>
<td>0.0145</td>
<td>0.1062</td>
<td>0.0563</td>
<td>0.0563</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0137</td>
<td>0.0097</td>
<td>0.0096</td>
<td>0.0360</td>
<td>0.0116</td>
<td>0.0886</td>
<td>0.0440</td>
<td>0.0440</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0119</td>
<td>0.0086</td>
<td>0.0084</td>
<td>0.0341</td>
<td>0.0088</td>
<td>0.0729</td>
<td>0.0323</td>
<td>0.0323</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0105</td>
<td>0.0076</td>
<td>0.0076</td>
<td>0.0307</td>
<td>0.0088</td>
<td>0.0577</td>
<td>0.0206</td>
<td>0.0206</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0099</td>
<td>0.0073</td>
<td>0.0071</td>
<td>0.0305</td>
<td>0.0068</td>
<td>0.0470</td>
<td>0.0152</td>
<td>0.0152</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0099</td>
<td>0.0067</td>
<td>0.0069</td>
<td>0.0277</td>
<td>0.0069</td>
<td>0.0371</td>
<td>0.0098</td>
<td>0.0098</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0083</td>
<td>0.0063</td>
<td>0.0066</td>
<td>0.0244</td>
<td>0.0059</td>
<td>0.0280</td>
<td>0.0072</td>
<td>0.0072</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0077</td>
<td>0.0057</td>
<td>0.0059</td>
<td>0.0230</td>
<td>0.0055</td>
<td>0.0214</td>
<td>0.0056</td>
<td>0.0056</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0067</td>
<td>0.0051</td>
<td>0.0060</td>
<td>0.0203</td>
<td>0.0052</td>
<td>0.0146</td>
<td>0.0049</td>
<td>0.0049</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0062</td>
<td>0.0047</td>
<td>0.0062</td>
<td>0.0173</td>
<td>0.0051</td>
<td>0.0088</td>
<td>0.0053</td>
<td>0.0053</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0053</td>
<td>0.0042</td>
<td>0.0062</td>
<td>0.0141</td>
<td>0.0049</td>
<td>0.0046</td>
<td>0.0055</td>
<td>0.0055</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0044</td>
<td>0.0040</td>
<td>0.0064</td>
<td>0.0098</td>
<td>0.0044</td>
<td>0.0029</td>
<td>0.0068</td>
<td>0.0068</td>
</tr>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0029</td>
<td>0.0058</td>
<td>0.0072</td>
<td>0.0035</td>
<td>0.0026</td>
<td>0.0064</td>
<td>0.0076</td>
<td>0.0076</td>
</tr>
<tr>
<th>tot</th>
<td>0.0207</td>
<td>0.0110</td>
<td>0.0094</td>
<td>0.0275</td>
<td>0.0164</td>
<td>0.1376</td>
<td>0.1025</td>
<td>0.1025</td>
</tr>
</tbody>
</table>
![plot_delta](plot\delta_rcv1_CCAT_80_f1.png)
![plot_diagonal](plot\diagonal_rcv1_CCAT_80_f1.png)
![plot_shift](plot\shift_rcv1_CCAT_80_f1.png)
> train: [0.29989987 0.70010013]
> validation: [0.30006676 0.69993324]
> evaluate_mul_sld: 84.430s
> evaluate_mul_sld_nbvs: 85.444s
> evaluate_mul_sld_bcts: 87.873s
> evaluate_mul_sld_ts: 85.637s
> evaluate_mul_sld_vs: 84.555s
> evaluate_mul_cc: 72.330s
> reference: 57.756s
> atc_mc: 60.572s
> atc_ne: 58.677s
> tot: 91.275s
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>mul_SLD</th>
<th>mul_SLD_nbvs</th>
<th>mul_SLD_bcts</th>
<th>mul_SLD_ts</th>
<th>mul_SLD_vs</th>
<th>mul_CC</th>
<th>atc_mc</th>
<th>atc_ne</th>
</tr>
</thead>
<tbody>
<tr>
<th>(1.0, 0.0)</th>
<td>0.0000</td>
<td>0.0002</td>
<td>0.0018</td>
<td>0.0038</td>
<td>0.0000</td>
<td>0.8412</td>
<td>0.5749</td>
<td>0.5749</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.0927</td>
<td>0.0888</td>
<td>0.0270</td>
<td>0.0545</td>
<td>0.0676</td>
<td>0.5619</td>
<td>0.3336</td>
<td>0.3336</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.0592</td>
<td>0.0748</td>
<td>0.0251</td>
<td>0.0672</td>
<td>0.0573</td>
<td>0.4131</td>
<td>0.2163</td>
<td>0.2163</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.0367</td>
<td>0.0577</td>
<td>0.0207</td>
<td>0.0739</td>
<td>0.0464</td>
<td>0.3186</td>
<td>0.1450</td>
<td>0.1450</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.0230</td>
<td>0.0454</td>
<td>0.0157</td>
<td>0.0754</td>
<td>0.0345</td>
<td>0.2543</td>
<td>0.1055</td>
<td>0.1055</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0205</td>
<td>0.0418</td>
<td>0.0168</td>
<td>0.0686</td>
<td>0.0342</td>
<td>0.2024</td>
<td>0.0703</td>
<td>0.0703</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0169</td>
<td>0.0337</td>
<td>0.0145</td>
<td>0.0674</td>
<td>0.0286</td>
<td>0.1697</td>
<td>0.0549</td>
<td>0.0549</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0160</td>
<td>0.0318</td>
<td>0.0148</td>
<td>0.0612</td>
<td>0.0262</td>
<td>0.1426</td>
<td>0.0403</td>
<td>0.0403</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0149</td>
<td>0.0267</td>
<td>0.0139</td>
<td>0.0587</td>
<td>0.0233</td>
<td>0.1188</td>
<td>0.0279</td>
<td>0.0279</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0135</td>
<td>0.0221</td>
<td>0.0118</td>
<td>0.0561</td>
<td>0.0186</td>
<td>0.1015</td>
<td>0.0225</td>
<td>0.0225</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0145</td>
<td>0.0202</td>
<td>0.0119</td>
<td>0.0514</td>
<td>0.0174</td>
<td>0.0848</td>
<td>0.0165</td>
<td>0.0165</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0123</td>
<td>0.0178</td>
<td>0.0112</td>
<td>0.0482</td>
<td>0.0157</td>
<td>0.0716</td>
<td>0.0120</td>
<td>0.0120</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0138</td>
<td>0.0135</td>
<td>0.0085</td>
<td>0.0472</td>
<td>0.0110</td>
<td>0.0613</td>
<td>0.0095</td>
<td>0.0095</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0130</td>
<td>0.0132</td>
<td>0.0099</td>
<td>0.0432</td>
<td>0.0120</td>
<td>0.0526</td>
<td>0.0089</td>
<td>0.0089</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0112</td>
<td>0.0113</td>
<td>0.0083</td>
<td>0.0385</td>
<td>0.0097</td>
<td>0.0430</td>
<td>0.0060</td>
<td>0.0060</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0102</td>
<td>0.0108</td>
<td>0.0091</td>
<td>0.0352</td>
<td>0.0091</td>
<td>0.0358</td>
<td>0.0047</td>
<td>0.0047</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0100</td>
<td>0.0096</td>
<td>0.0090</td>
<td>0.0310</td>
<td>0.0084</td>
<td>0.0293</td>
<td>0.0044</td>
<td>0.0044</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0085</td>
<td>0.0083</td>
<td>0.0094</td>
<td>0.0271</td>
<td>0.0077</td>
<td>0.0236</td>
<td>0.0045</td>
<td>0.0045</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0061</td>
<td>0.0073</td>
<td>0.0088</td>
<td>0.0226</td>
<td>0.0062</td>
<td>0.0186</td>
<td>0.0036</td>
<td>0.0036</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0043</td>
<td>0.0067</td>
<td>0.0082</td>
<td>0.0166</td>
<td>0.0051</td>
<td>0.0135</td>
<td>0.0035</td>
<td>0.0035</td>
</tr>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0031</td>
<td>0.0087</td>
<td>0.0091</td>
<td>0.0050</td>
<td>0.0056</td>
<td>0.0100</td>
<td>0.0032</td>
<td>0.0032</td>
</tr>
<tr>
<th>tot</th>
<td>0.0191</td>
<td>0.0262</td>
<td>0.0127</td>
<td>0.0454</td>
<td>0.0212</td>
<td>0.1699</td>
<td>0.0794</td>
<td>0.0794</td>
</tr>
</tbody>
</table>
![plot_delta](plot\delta_rcv1_CCAT_70_f1.png)
![plot_diagonal](plot\diagonal_rcv1_CCAT_70_f1.png)
![plot_shift](plot\shift_rcv1_CCAT_70_f1.png)
> train: [0.40003338 0.59996662]
> validation: [0.40003338 0.59996662]
> evaluate_mul_sld: 83.508s
> evaluate_mul_sld_nbvs: 86.755s
> evaluate_mul_sld_bcts: 87.560s
> evaluate_mul_sld_ts: 86.070s
> evaluate_mul_sld_vs: 85.272s
> evaluate_mul_cc: 71.809s
> reference: 57.819s
> atc_mc: 60.630s
> atc_ne: 59.231s
> tot: 91.426s
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>mul_SLD</th>
<th>mul_SLD_nbvs</th>
<th>mul_SLD_bcts</th>
<th>mul_SLD_ts</th>
<th>mul_SLD_vs</th>
<th>mul_CC</th>
<th>atc_mc</th>
<th>atc_ne</th>
</tr>
</thead>
<tbody>
<tr>
<th>(1.0, 0.0)</th>
<td>0.0010</td>
<td>0.0042</td>
<td>0.0391</td>
<td>0.0570</td>
<td>0.0048</td>
<td>0.9375</td>
<td>0.5310</td>
<td>0.5310</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.0445</td>
<td>0.0370</td>
<td>0.0442</td>
<td>0.1635</td>
<td>0.0434</td>
<td>0.5083</td>
<td>0.2044</td>
<td>0.2044</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.0411</td>
<td>0.0293</td>
<td>0.0313</td>
<td>0.1515</td>
<td>0.0333</td>
<td>0.3445</td>
<td>0.1045</td>
<td>0.1045</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.0431</td>
<td>0.0295</td>
<td>0.0236</td>
<td>0.1400</td>
<td>0.0287</td>
<td>0.2540</td>
<td>0.0571</td>
<td>0.0571</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.0467</td>
<td>0.0305</td>
<td>0.0231</td>
<td>0.1290</td>
<td>0.0214</td>
<td>0.2026</td>
<td>0.0407</td>
<td>0.0407</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0442</td>
<td>0.0282</td>
<td>0.0181</td>
<td>0.1153</td>
<td>0.0219</td>
<td>0.1627</td>
<td>0.0228</td>
<td>0.0228</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0422</td>
<td>0.0278</td>
<td>0.0166</td>
<td>0.1063</td>
<td>0.0203</td>
<td>0.1389</td>
<td>0.0196</td>
<td>0.0196</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0377</td>
<td>0.0257</td>
<td>0.0141</td>
<td>0.0955</td>
<td>0.0184</td>
<td>0.1179</td>
<td>0.0125</td>
<td>0.0125</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0373</td>
<td>0.0271</td>
<td>0.0135</td>
<td>0.0885</td>
<td>0.0155</td>
<td>0.1006</td>
<td>0.0100</td>
<td>0.0100</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0351</td>
<td>0.0274</td>
<td>0.0119</td>
<td>0.0828</td>
<td>0.0139</td>
<td>0.0897</td>
<td>0.0101</td>
<td>0.0101</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0307</td>
<td>0.0247</td>
<td>0.0117</td>
<td>0.0735</td>
<td>0.0151</td>
<td>0.0776</td>
<td>0.0081</td>
<td>0.0081</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0280</td>
<td>0.0239</td>
<td>0.0090</td>
<td>0.0674</td>
<td>0.0121</td>
<td>0.0681</td>
<td>0.0076</td>
<td>0.0076</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0278</td>
<td>0.0264</td>
<td>0.0086</td>
<td>0.0623</td>
<td>0.0105</td>
<td>0.0614</td>
<td>0.0060</td>
<td>0.0060</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0236</td>
<td>0.0252</td>
<td>0.0080</td>
<td>0.0581</td>
<td>0.0095</td>
<td>0.0568</td>
<td>0.0060</td>
<td>0.0060</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0187</td>
<td>0.0224</td>
<td>0.0082</td>
<td>0.0505</td>
<td>0.0111</td>
<td>0.0499</td>
<td>0.0055</td>
<td>0.0055</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0155</td>
<td>0.0212</td>
<td>0.0067</td>
<td>0.0454</td>
<td>0.0098</td>
<td>0.0452</td>
<td>0.0051</td>
<td>0.0051</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0127</td>
<td>0.0212</td>
<td>0.0063</td>
<td>0.0406</td>
<td>0.0086</td>
<td>0.0414</td>
<td>0.0042</td>
<td>0.0042</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0090</td>
<td>0.0180</td>
<td>0.0061</td>
<td>0.0349</td>
<td>0.0086</td>
<td>0.0375</td>
<td>0.0042</td>
<td>0.0042</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0060</td>
<td>0.0128</td>
<td>0.0064</td>
<td>0.0276</td>
<td>0.0093</td>
<td>0.0338</td>
<td>0.0045</td>
<td>0.0045</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0045</td>
<td>0.0089</td>
<td>0.0053</td>
<td>0.0195</td>
<td>0.0071</td>
<td>0.0312</td>
<td>0.0037</td>
<td>0.0037</td>
</tr>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0025</td>
<td>0.0032</td>
<td>0.0071</td>
<td>0.0055</td>
<td>0.0076</td>
<td>0.0294</td>
<td>0.0034</td>
<td>0.0034</td>
</tr>
<tr>
<th>tot</th>
<td>0.0263</td>
<td>0.0226</td>
<td>0.0152</td>
<td>0.0769</td>
<td>0.0158</td>
<td>0.1614</td>
<td>0.0510</td>
<td>0.0510</td>
</tr>
</tbody>
</table>
![plot_delta](plot\delta_rcv1_CCAT_60_f1.png)
![plot_diagonal](plot\diagonal_rcv1_CCAT_60_f1.png)
![plot_shift](plot\shift_rcv1_CCAT_60_f1.png)
> train: [0.5 0.5]
> validation: [0.5 0.5]
> evaluate_mul_sld: 82.271s
> evaluate_mul_sld_nbvs: 87.111s
> evaluate_mul_sld_bcts: 87.864s
> evaluate_mul_sld_ts: 85.152s
> evaluate_mul_sld_vs: 84.956s
> evaluate_mul_cc: 72.398s
> reference: 57.877s
> atc_mc: 60.136s
> atc_ne: 59.105s
> tot: 91.401s
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>mul_SLD</th>
<th>mul_SLD_nbvs</th>
<th>mul_SLD_bcts</th>
<th>mul_SLD_ts</th>
<th>mul_SLD_vs</th>
<th>mul_CC</th>
<th>atc_mc</th>
<th>atc_ne</th>
</tr>
</thead>
<tbody>
<tr>
<th>(1.0, 0.0)</th>
<td>0.0015</td>
<td>0.0117</td>
<td>0.0147</td>
<td>0.0645</td>
<td>0.0044</td>
<td>0.9781</td>
<td>0.5135</td>
<td>0.5135</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.0657</td>
<td>0.1759</td>
<td>0.0444</td>
<td>0.2122</td>
<td>0.0480</td>
<td>0.3985</td>
<td>0.1066</td>
<td>0.1066</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.0601</td>
<td>0.1604</td>
<td>0.0289</td>
<td>0.1812</td>
<td>0.0283</td>
<td>0.2602</td>
<td>0.0476</td>
<td>0.0476</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.0691</td>
<td>0.1508</td>
<td>0.0288</td>
<td>0.1646</td>
<td>0.0252</td>
<td>0.1925</td>
<td>0.0306</td>
<td>0.0306</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.0687</td>
<td>0.1342</td>
<td>0.0250</td>
<td>0.1443</td>
<td>0.0196</td>
<td>0.1589</td>
<td>0.0235</td>
<td>0.0235</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0679</td>
<td>0.1191</td>
<td>0.0234</td>
<td>0.1268</td>
<td>0.0177</td>
<td>0.1307</td>
<td>0.0158</td>
<td>0.0158</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0594</td>
<td>0.1053</td>
<td>0.0216</td>
<td>0.1137</td>
<td>0.0179</td>
<td>0.1160</td>
<td>0.0147</td>
<td>0.0147</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0542</td>
<td>0.0945</td>
<td>0.0204</td>
<td>0.1042</td>
<td>0.0160</td>
<td>0.1047</td>
<td>0.0151</td>
<td>0.0151</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0496</td>
<td>0.0820</td>
<td>0.0185</td>
<td>0.0926</td>
<td>0.0150</td>
<td>0.0927</td>
<td>0.0105</td>
<td>0.0105</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0447</td>
<td>0.0736</td>
<td>0.0166</td>
<td>0.0864</td>
<td>0.0126</td>
<td>0.0864</td>
<td>0.0119</td>
<td>0.0119</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0395</td>
<td>0.0628</td>
<td>0.0146</td>
<td>0.0788</td>
<td>0.0112</td>
<td>0.0788</td>
<td>0.0115</td>
<td>0.0115</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0363</td>
<td>0.0573</td>
<td>0.0132</td>
<td>0.0734</td>
<td>0.0085</td>
<td>0.0738</td>
<td>0.0105</td>
<td>0.0105</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0318</td>
<td>0.0489</td>
<td>0.0133</td>
<td>0.0663</td>
<td>0.0096</td>
<td>0.0688</td>
<td>0.0107</td>
<td>0.0107</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0269</td>
<td>0.0437</td>
<td>0.0124</td>
<td>0.0632</td>
<td>0.0095</td>
<td>0.0679</td>
<td>0.0114</td>
<td>0.0114</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0213</td>
<td>0.0360</td>
<td>0.0105</td>
<td>0.0556</td>
<td>0.0096</td>
<td>0.0636</td>
<td>0.0103</td>
<td>0.0103</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0170</td>
<td>0.0296</td>
<td>0.0091</td>
<td>0.0490</td>
<td>0.0091</td>
<td>0.0602</td>
<td>0.0097</td>
<td>0.0097</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0129</td>
<td>0.0241</td>
<td>0.0076</td>
<td>0.0430</td>
<td>0.0085</td>
<td>0.0579</td>
<td>0.0117</td>
<td>0.0117</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0090</td>
<td>0.0182</td>
<td>0.0059</td>
<td>0.0353</td>
<td>0.0083</td>
<td>0.0555</td>
<td>0.0104</td>
<td>0.0104</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0070</td>
<td>0.0127</td>
<td>0.0055</td>
<td>0.0281</td>
<td>0.0089</td>
<td>0.0539</td>
<td>0.0117</td>
<td>0.0117</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0046</td>
<td>0.0072</td>
<td>0.0039</td>
<td>0.0197</td>
<td>0.0085</td>
<td>0.0522</td>
<td>0.0117</td>
<td>0.0117</td>
</tr>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0019</td>
<td>0.0037</td>
<td>0.0053</td>
<td>0.0066</td>
<td>0.0081</td>
<td>0.0515</td>
<td>0.0128</td>
<td>0.0128</td>
</tr>
<tr>
<th>tot</th>
<td>0.0357</td>
<td>0.0691</td>
<td>0.0164</td>
<td>0.0862</td>
<td>0.0145</td>
<td>0.1525</td>
<td>0.0434</td>
<td>0.0434</td>
</tr>
</tbody>
</table>
![plot_delta](plot\delta_rcv1_CCAT_50_f1.png)
![plot_diagonal](plot\diagonal_rcv1_CCAT_50_f1.png)
![plot_shift](plot\shift_rcv1_CCAT_50_f1.png)
> train: [0.59996662 0.40003338]
> validation: [0.59996662 0.40003338]
> evaluate_mul_sld: 80.470s
> evaluate_mul_sld_nbvs: 84.751s
> evaluate_mul_sld_bcts: 86.113s
> evaluate_mul_sld_ts: 84.612s
> evaluate_mul_sld_vs: 83.568s
> evaluate_mul_cc: 71.756s
> reference: 57.252s
> atc_mc: 59.949s
> atc_ne: 58.848s
> tot: 89.557s
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>mul_SLD</th>
<th>mul_SLD_nbvs</th>
<th>mul_SLD_bcts</th>
<th>mul_SLD_ts</th>
<th>mul_SLD_vs</th>
<th>mul_CC</th>
<th>atc_mc</th>
<th>atc_ne</th>
</tr>
</thead>
<tbody>
<tr>
<th>(1.0, 0.0)</th>
<td>0.0082</td>
<td>0.1340</td>
<td>0.0146</td>
<td>0.1919</td>
<td>0.0176</td>
<td>0.9369</td>
<td>0.3564</td>
<td>0.3564</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.1237</td>
<td>0.1895</td>
<td>0.0489</td>
<td>0.2678</td>
<td>0.0489</td>
<td>0.2651</td>
<td>0.0506</td>
<td>0.0506</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.1167</td>
<td>0.1297</td>
<td>0.0329</td>
<td>0.1942</td>
<td>0.0343</td>
<td>0.1781</td>
<td>0.0460</td>
<td>0.0460</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.1138</td>
<td>0.0982</td>
<td>0.0358</td>
<td>0.1591</td>
<td>0.0363</td>
<td>0.1429</td>
<td>0.0318</td>
<td>0.0318</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.1060</td>
<td>0.0830</td>
<td>0.0358</td>
<td>0.1403</td>
<td>0.0326</td>
<td>0.1276</td>
<td>0.0254</td>
<td>0.0254</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0996</td>
<td>0.0717</td>
<td>0.0375</td>
<td>0.1244</td>
<td>0.0317</td>
<td>0.1119</td>
<td>0.0197</td>
<td>0.0197</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0871</td>
<td>0.0582</td>
<td>0.0326</td>
<td>0.1170</td>
<td>0.0254</td>
<td>0.1057</td>
<td>0.0174</td>
<td>0.0174</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0773</td>
<td>0.0506</td>
<td>0.0312</td>
<td>0.1114</td>
<td>0.0233</td>
<td>0.1028</td>
<td>0.0129</td>
<td>0.0129</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0706</td>
<td>0.0448</td>
<td>0.0301</td>
<td>0.1033</td>
<td>0.0214</td>
<td>0.0965</td>
<td>0.0118</td>
<td>0.0118</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0608</td>
<td>0.0386</td>
<td>0.0263</td>
<td>0.0978</td>
<td>0.0166</td>
<td>0.0925</td>
<td>0.0095</td>
<td>0.0095</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0545</td>
<td>0.0337</td>
<td>0.0253</td>
<td>0.0909</td>
<td>0.0152</td>
<td>0.0889</td>
<td>0.0088</td>
<td>0.0088</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0496</td>
<td>0.0310</td>
<td>0.0244</td>
<td>0.0863</td>
<td>0.0132</td>
<td>0.0875</td>
<td>0.0085</td>
<td>0.0085</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0434</td>
<td>0.0266</td>
<td>0.0228</td>
<td>0.0790</td>
<td>0.0119</td>
<td>0.0842</td>
<td>0.0078</td>
<td>0.0078</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0375</td>
<td>0.0239</td>
<td>0.0211</td>
<td>0.0733</td>
<td>0.0114</td>
<td>0.0853</td>
<td>0.0093</td>
<td>0.0093</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0310</td>
<td>0.0195</td>
<td>0.0187</td>
<td>0.0654</td>
<td>0.0094</td>
<td>0.0831</td>
<td>0.0090</td>
<td>0.0090</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0240</td>
<td>0.0149</td>
<td>0.0151</td>
<td>0.0568</td>
<td>0.0078</td>
<td>0.0811</td>
<td>0.0075</td>
<td>0.0075</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0206</td>
<td>0.0132</td>
<td>0.0146</td>
<td>0.0511</td>
<td>0.0072</td>
<td>0.0800</td>
<td>0.0066</td>
<td>0.0066</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0162</td>
<td>0.0113</td>
<td>0.0129</td>
<td>0.0441</td>
<td>0.0062</td>
<td>0.0796</td>
<td>0.0084</td>
<td>0.0084</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0103</td>
<td>0.0070</td>
<td>0.0093</td>
<td>0.0354</td>
<td>0.0056</td>
<td>0.0779</td>
<td>0.0078</td>
<td>0.0078</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0073</td>
<td>0.0056</td>
<td>0.0077</td>
<td>0.0278</td>
<td>0.0048</td>
<td>0.0777</td>
<td>0.0097</td>
<td>0.0097</td>
</tr>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0032</td>
<td>0.0023</td>
<td>0.0035</td>
<td>0.0132</td>
<td>0.0059</td>
<td>0.0777</td>
<td>0.0090</td>
<td>0.0090</td>
</tr>
<tr>
<th>tot</th>
<td>0.0553</td>
<td>0.0518</td>
<td>0.0238</td>
<td>0.1015</td>
<td>0.0184</td>
<td>0.1459</td>
<td>0.0321</td>
<td>0.0321</td>
</tr>
</tbody>
</table>
![plot_delta](plot\delta_rcv1_CCAT_40_f1.png)
![plot_diagonal](plot\diagonal_rcv1_CCAT_40_f1.png)
![plot_shift](plot\shift_rcv1_CCAT_40_f1.png)
> train: [0.69993324 0.30006676]
> validation: [0.70010013 0.29989987]
> evaluate_mul_sld: 81.533s
> evaluate_mul_sld_nbvs: 86.971s
> evaluate_mul_sld_bcts: 87.396s
> evaluate_mul_sld_ts: 85.778s
> evaluate_mul_sld_vs: 84.898s
> evaluate_mul_cc: 72.777s
> reference: 58.110s
> atc_mc: 60.832s
> atc_ne: 59.018s
> tot: 91.337s
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>mul_SLD</th>
<th>mul_SLD_nbvs</th>
<th>mul_SLD_bcts</th>
<th>mul_SLD_ts</th>
<th>mul_SLD_vs</th>
<th>mul_CC</th>
<th>atc_mc</th>
<th>atc_ne</th>
</tr>
</thead>
<tbody>
<tr>
<th>(1.0, 0.0)</th>
<td>0.0303</td>
<td>0.4175</td>
<td>0.0193</td>
<td>0.3236</td>
<td>0.0789</td>
<td>0.6971</td>
<td>0.3301</td>
<td>0.3301</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.1107</td>
<td>0.0886</td>
<td>0.0612</td>
<td>0.2258</td>
<td>0.0551</td>
<td>0.1240</td>
<td>0.0519</td>
<td>0.0519</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.1038</td>
<td>0.0629</td>
<td>0.0341</td>
<td>0.1742</td>
<td>0.0434</td>
<td>0.0989</td>
<td>0.0306</td>
<td>0.0306</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.0995</td>
<td>0.0522</td>
<td>0.0287</td>
<td>0.1568</td>
<td>0.0388</td>
<td>0.0974</td>
<td>0.0252</td>
<td>0.0252</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.0897</td>
<td>0.0455</td>
<td>0.0275</td>
<td>0.1432</td>
<td>0.0313</td>
<td>0.0964</td>
<td>0.0190</td>
<td>0.0190</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0818</td>
<td>0.0415</td>
<td>0.0269</td>
<td>0.1300</td>
<td>0.0292</td>
<td>0.0941</td>
<td>0.0167</td>
<td>0.0167</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0671</td>
<td>0.0343</td>
<td>0.0232</td>
<td>0.1183</td>
<td>0.0215</td>
<td>0.0955</td>
<td>0.0132</td>
<td>0.0132</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0568</td>
<td>0.0297</td>
<td>0.0224</td>
<td>0.1060</td>
<td>0.0200</td>
<td>0.0947</td>
<td>0.0170</td>
<td>0.0170</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0515</td>
<td>0.0284</td>
<td>0.0228</td>
<td>0.0986</td>
<td>0.0183</td>
<td>0.0953</td>
<td>0.0141</td>
<td>0.0141</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0449</td>
<td>0.0245</td>
<td>0.0210</td>
<td>0.0887</td>
<td>0.0156</td>
<td>0.0947</td>
<td>0.0135</td>
<td>0.0135</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0393</td>
<td>0.0218</td>
<td>0.0200</td>
<td>0.0806</td>
<td>0.0132</td>
<td>0.0936</td>
<td>0.0153</td>
<td>0.0153</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0362</td>
<td>0.0216</td>
<td>0.0204</td>
<td>0.0758</td>
<td>0.0122</td>
<td>0.0942</td>
<td>0.0146</td>
<td>0.0146</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0306</td>
<td>0.0184</td>
<td>0.0183</td>
<td>0.0682</td>
<td>0.0094</td>
<td>0.0914</td>
<td>0.0142</td>
<td>0.0142</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0262</td>
<td>0.0168</td>
<td>0.0175</td>
<td>0.0630</td>
<td>0.0095</td>
<td>0.0943</td>
<td>0.0159</td>
<td>0.0159</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0214</td>
<td>0.0141</td>
<td>0.0156</td>
<td>0.0561</td>
<td>0.0083</td>
<td>0.0940</td>
<td>0.0145</td>
<td>0.0145</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0166</td>
<td>0.0114</td>
<td>0.0134</td>
<td>0.0491</td>
<td>0.0070</td>
<td>0.0934</td>
<td>0.0144</td>
<td>0.0144</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0138</td>
<td>0.0101</td>
<td>0.0124</td>
<td>0.0444</td>
<td>0.0069</td>
<td>0.0934</td>
<td>0.0157</td>
<td>0.0157</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0104</td>
<td>0.0085</td>
<td>0.0109</td>
<td>0.0384</td>
<td>0.0070</td>
<td>0.0938</td>
<td>0.0168</td>
<td>0.0168</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0076</td>
<td>0.0066</td>
<td>0.0086</td>
<td>0.0316</td>
<td>0.0072</td>
<td>0.0931</td>
<td>0.0155</td>
<td>0.0155</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0059</td>
<td>0.0054</td>
<td>0.0070</td>
<td>0.0254</td>
<td>0.0074</td>
<td>0.0929</td>
<td>0.0152</td>
<td>0.0152</td>
</tr>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0045</td>
<td>0.0033</td>
<td>0.0040</td>
<td>0.0138</td>
<td>0.0108</td>
<td>0.0938</td>
<td>0.0177</td>
<td>0.0177</td>
</tr>
<tr>
<th>tot</th>
<td>0.0452</td>
<td>0.0459</td>
<td>0.0207</td>
<td>0.1006</td>
<td>0.0215</td>
<td>0.1246</td>
<td>0.0334</td>
<td>0.0334</td>
</tr>
</tbody>
</table>
![plot_delta](plot\delta_rcv1_CCAT_30_f1.png)
![plot_diagonal](plot\diagonal_rcv1_CCAT_30_f1.png)
![plot_shift](plot\shift_rcv1_CCAT_30_f1.png)
> train: [0.79989987 0.20010013]
> validation: [0.80006676 0.19993324]
> evaluate_mul_sld: 80.936s
> evaluate_mul_sld_nbvs: 84.504s
> evaluate_mul_sld_bcts: 84.459s
> evaluate_mul_sld_ts: 83.197s
> evaluate_mul_sld_vs: 82.279s
> evaluate_mul_cc: 72.115s
> reference: 57.389s
> atc_mc: 59.886s
> atc_ne: 58.513s
> tot: 88.463s
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>mul_SLD</th>
<th>mul_SLD_nbvs</th>
<th>mul_SLD_bcts</th>
<th>mul_SLD_ts</th>
<th>mul_SLD_vs</th>
<th>mul_CC</th>
<th>atc_mc</th>
<th>atc_ne</th>
</tr>
</thead>
<tbody>
<tr>
<th>(1.0, 0.0)</th>
<td>0.1710</td>
<td>0.2772</td>
<td>0.0772</td>
<td>0.5108</td>
<td>0.0782</td>
<td>0.3382</td>
<td>0.1159</td>
<td>0.1159</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.1318</td>
<td>0.0512</td>
<td>0.0569</td>
<td>0.2074</td>
<td>0.0579</td>
<td>0.0401</td>
<td>0.1303</td>
<td>0.1303</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.0908</td>
<td>0.0358</td>
<td>0.0349</td>
<td>0.1674</td>
<td>0.0331</td>
<td>0.0661</td>
<td>0.0916</td>
<td>0.0916</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.0631</td>
<td>0.0242</td>
<td>0.0227</td>
<td>0.1338</td>
<td>0.0258</td>
<td>0.0757</td>
<td>0.0794</td>
<td>0.0794</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.0569</td>
<td>0.0260</td>
<td>0.0236</td>
<td>0.1183</td>
<td>0.0226</td>
<td>0.0860</td>
<td>0.0673</td>
<td>0.0673</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0485</td>
<td>0.0238</td>
<td>0.0213</td>
<td>0.1064</td>
<td>0.0192</td>
<td>0.0905</td>
<td>0.0623</td>
<td>0.0623</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0364</td>
<td>0.0213</td>
<td>0.0183</td>
<td>0.0938</td>
<td>0.0159</td>
<td>0.0952</td>
<td>0.0592</td>
<td>0.0592</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0290</td>
<td>0.0184</td>
<td>0.0162</td>
<td>0.0819</td>
<td>0.0133</td>
<td>0.0980</td>
<td>0.0518</td>
<td>0.0518</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0244</td>
<td>0.0194</td>
<td>0.0160</td>
<td>0.0757</td>
<td>0.0123</td>
<td>0.1015</td>
<td>0.0536</td>
<td>0.0536</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0196</td>
<td>0.0161</td>
<td>0.0137</td>
<td>0.0672</td>
<td>0.0125</td>
<td>0.1003</td>
<td>0.0510</td>
<td>0.0510</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0158</td>
<td>0.0153</td>
<td>0.0126</td>
<td>0.0599</td>
<td>0.0114</td>
<td>0.1009</td>
<td>0.0518</td>
<td>0.0518</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0139</td>
<td>0.0165</td>
<td>0.0127</td>
<td>0.0565</td>
<td>0.0106</td>
<td>0.1017</td>
<td>0.0533</td>
<td>0.0533</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0112</td>
<td>0.0141</td>
<td>0.0105</td>
<td>0.0493</td>
<td>0.0112</td>
<td>0.1010</td>
<td>0.0506</td>
<td>0.0506</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0098</td>
<td>0.0139</td>
<td>0.0100</td>
<td>0.0451</td>
<td>0.0123</td>
<td>0.1034</td>
<td>0.0480</td>
<td>0.0480</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0106</td>
<td>0.0134</td>
<td>0.0105</td>
<td>0.0403</td>
<td>0.0119</td>
<td>0.1048</td>
<td>0.0453</td>
<td>0.0453</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0101</td>
<td>0.0124</td>
<td>0.0090</td>
<td>0.0354</td>
<td>0.0144</td>
<td>0.1057</td>
<td>0.0428</td>
<td>0.0428</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0099</td>
<td>0.0113</td>
<td>0.0077</td>
<td>0.0300</td>
<td>0.0152</td>
<td>0.1039</td>
<td>0.0472</td>
<td>0.0472</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0105</td>
<td>0.0102</td>
<td>0.0068</td>
<td>0.0249</td>
<td>0.0181</td>
<td>0.1050</td>
<td>0.0461</td>
<td>0.0461</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0111</td>
<td>0.0100</td>
<td>0.0067</td>
<td>0.0207</td>
<td>0.0199</td>
<td>0.1055</td>
<td>0.0439</td>
<td>0.0439</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0108</td>
<td>0.0098</td>
<td>0.0059</td>
<td>0.0153</td>
<td>0.0221</td>
<td>0.1042</td>
<td>0.0468</td>
<td>0.0468</td>
</tr>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0063</td>
<td>0.0137</td>
<td>0.0041</td>
<td>0.0092</td>
<td>0.0243</td>
<td>0.1062</td>
<td>0.0425</td>
<td>0.0425</td>
</tr>
<tr>
<th>tot</th>
<td>0.0377</td>
<td>0.0312</td>
<td>0.0189</td>
<td>0.0928</td>
<td>0.0220</td>
<td>0.1064</td>
<td>0.0610</td>
<td>0.0610</td>
</tr>
</tbody>
</table>
![plot_delta](plot\delta_rcv1_CCAT_20_f1.png)
![plot_diagonal](plot\diagonal_rcv1_CCAT_20_f1.png)
![plot_shift](plot\shift_rcv1_CCAT_20_f1.png)
> train: [0.90003338 0.09996662]
> validation: [0.90003338 0.09996662]
> evaluate_mul_sld: 64.528s
> evaluate_mul_cc: 58.489s
> reference: 47.116s
> atc_mc: 48.881s
> atc_ne: 47.186s
> tot: 66.290s
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>mul_SLD</th>
<th>mul_CC</th>
<th>atc_mc</th>
<th>atc_ne</th>
</tr>
</thead>
<tbody>
<tr>
<th>(1.0, 0.0)</th>
<td>0.0469</td>
<td>0.0156</td>
<td>0.0022</td>
<td>0.0022</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.0840</td>
<td>0.0542</td>
<td>0.2253</td>
<td>0.2253</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.0459</td>
<td>0.0369</td>
<td>0.1997</td>
<td>0.1997</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.0312</td>
<td>0.0300</td>
<td>0.2018</td>
<td>0.2018</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.0327</td>
<td>0.0335</td>
<td>0.1936</td>
<td>0.1936</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0329</td>
<td>0.0354</td>
<td>0.1943</td>
<td>0.1943</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0379</td>
<td>0.0355</td>
<td>0.1865</td>
<td>0.1865</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0423</td>
<td>0.0399</td>
<td>0.1849</td>
<td>0.1849</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0495</td>
<td>0.0372</td>
<td>0.1852</td>
<td>0.1852</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0506</td>
<td>0.0364</td>
<td>0.1824</td>
<td>0.1824</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0546</td>
<td>0.0378</td>
<td>0.1836</td>
<td>0.1836</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0541</td>
<td>0.0396</td>
<td>0.1801</td>
<td>0.1801</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0588</td>
<td>0.0337</td>
<td>0.1872</td>
<td>0.1872</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0618</td>
<td>0.0353</td>
<td>0.1871</td>
<td>0.1871</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0616</td>
<td>0.0372</td>
<td>0.1884</td>
<td>0.1884</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0606</td>
<td>0.0375</td>
<td>0.1829</td>
<td>0.1829</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0616</td>
<td>0.0385</td>
<td>0.1840</td>
<td>0.1840</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0617</td>
<td>0.0380</td>
<td>0.1816</td>
<td>0.1816</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0592</td>
<td>0.0389</td>
<td>0.1818</td>
<td>0.1818</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0476</td>
<td>0.0357</td>
<td>0.1848</td>
<td>0.1848</td>
</tr>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0231</td>
<td>0.0366</td>
<td>0.1850</td>
<td>0.1850</td>
</tr>
<tr>
<th>tot</th>
<td>0.0504</td>
<td>0.0364</td>
<td>0.1801</td>
<td>0.1801</td>
</tr>
</tbody>
</table>
![plot_delta](plot\delta_rcv1_CCAT_10_f1.png)
![plot_diagonal](plot\diagonal_rcv1_CCAT_10_f1.png)
![plot_shift](plot\shift_rcv1_CCAT_10_f1.png)