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<body>
<div>spambase</div>
<div>#instances=4601, type=<class 'numpy.ndarray'>, #features=57, #classes=[0 1], prevs=[0.606, 0.394]</div>
<div>Tests:</div>
<div>protocol=APP</div>
<div>n_prevalences=21</div>
<div>repreats=1000</div>
<div> </div>
<div>binary</div>
<table class="dataframe">
<thead>
<tr>
<th></th>
<th colspan="2" halign="left">base</th>
<th colspan="4" halign="left">true</th>
<th colspan="4" halign="left">estim</th>
<th colspan="4" halign="left">errors</th>
</tr>
<tr>
<th></th>
<th>0</th>
<th>1</th>
<th>T0</th>
<th>F1</th>
<th>F0</th>
<th>T1</th>
<th>T0</th>
<th>F1</th>
<th>F0</th>
<th>T1</th>
<th>ae</th>
<th>f1_true</th>
<th>f1_estim</th>
<th>f1_dist</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0.0000</td>
<td>1.0000</td>
<td>0.0000</td>
<td>0.0000</td>
<td>0.0949</td>
<td>0.9052</td>
<td>0.0067</td>
<td>0.0012</td>
<td>0.0882</td>
<td>0.9040</td>
<td>0.0039</td>
<td>NaN</td>
<td>0.1154</td>
<td>NaN</td>
</tr>
<tr>
<th>1</th>
<td>0.0500</td>
<td>0.9500</td>
<td>0.0470</td>
<td>0.0030</td>
<td>0.0908</td>
<td>0.8592</td>
<td>0.0584</td>
<td>0.0020</td>
<td>0.0794</td>
<td>0.8601</td>
<td>0.0114</td>
<td>0.5095</td>
<td>0.5828</td>
<td>0.1418</td>
</tr>
<tr>
<th>2</th>
<td>0.1000</td>
<td>0.9000</td>
<td>0.0940</td>
<td>0.0060</td>
<td>0.0867</td>
<td>0.8133</td>
<td>0.1090</td>
<td>0.0030</td>
<td>0.0717</td>
<td>0.8163</td>
<td>0.0147</td>
<td>0.6748</td>
<td>0.7417</td>
<td>0.1057</td>
</tr>
<tr>
<th>3</th>
<td>0.1500</td>
<td>0.8500</td>
<td>0.1410</td>
<td>0.0090</td>
<td>0.0817</td>
<td>0.7683</td>
<td>0.1585</td>
<td>0.0039</td>
<td>0.0642</td>
<td>0.7733</td>
<td>0.0180</td>
<td>0.7593</td>
<td>0.8205</td>
<td>0.0926</td>
</tr>
<tr>
<th>4</th>
<td>0.2000</td>
<td>0.8000</td>
<td>0.1882</td>
<td>0.0118</td>
<td>0.0761</td>
<td>0.7238</td>
<td>0.2081</td>
<td>0.0066</td>
<td>0.0562</td>
<td>0.7291</td>
<td>0.0203</td>
<td>0.8121</td>
<td>0.8676</td>
<td>0.0762</td>
</tr>
<tr>
<th>5</th>
<td>0.2500</td>
<td>0.7500</td>
<td>0.2360</td>
<td>0.0140</td>
<td>0.0707</td>
<td>0.6794</td>
<td>0.2564</td>
<td>0.0073</td>
<td>0.0503</td>
<td>0.6860</td>
<td>0.0212</td>
<td>0.8491</td>
<td>0.8982</td>
<td>0.0662</td>
</tr>
<tr>
<th>6</th>
<td>0.3000</td>
<td>0.7000</td>
<td>0.2828</td>
<td>0.0173</td>
<td>0.0657</td>
<td>0.6343</td>
<td>0.3051</td>
<td>0.0093</td>
<td>0.0434</td>
<td>0.6422</td>
<td>0.0236</td>
<td>0.8727</td>
<td>0.9202</td>
<td>0.0622</td>
</tr>
<tr>
<th>7</th>
<td>0.3500</td>
<td>0.6500</td>
<td>0.3293</td>
<td>0.0207</td>
<td>0.0630</td>
<td>0.5870</td>
<td>0.3521</td>
<td>0.0106</td>
<td>0.0402</td>
<td>0.5971</td>
<td>0.0244</td>
<td>0.8877</td>
<td>0.9325</td>
<td>0.0556</td>
</tr>
<tr>
<th>8</th>
<td>0.4000</td>
<td>0.6000</td>
<td>0.3759</td>
<td>0.0241</td>
<td>0.0563</td>
<td>0.5438</td>
<td>0.3975</td>
<td>0.0149</td>
<td>0.0347</td>
<td>0.5529</td>
<td>0.0252</td>
<td>0.9037</td>
<td>0.9411</td>
<td>0.0485</td>
</tr>
<tr>
<th>9</th>
<td>0.4500</td>
<td>0.5500</td>
<td>0.4246</td>
<td>0.0254</td>
<td>0.0533</td>
<td>0.4967</td>
<td>0.4465</td>
<td>0.0157</td>
<td>0.0315</td>
<td>0.5064</td>
<td>0.0262</td>
<td>0.9153</td>
<td>0.9499</td>
<td>0.0464</td>
</tr>
<tr>
<th>10</th>
<td>0.5000</td>
<td>0.5000</td>
<td>0.4718</td>
<td>0.0282</td>
<td>0.0475</td>
<td>0.4525</td>
<td>0.4904</td>
<td>0.0180</td>
<td>0.0289</td>
<td>0.4628</td>
<td>0.0255</td>
<td>0.9258</td>
<td>0.9543</td>
<td>0.0397</td>
</tr>
<tr>
<th>11</th>
<td>0.5500</td>
<td>0.4500</td>
<td>0.5181</td>
<td>0.0319</td>
<td>0.0427</td>
<td>0.4073</td>
<td>0.5344</td>
<td>0.0233</td>
<td>0.0264</td>
<td>0.4159</td>
<td>0.0261</td>
<td>0.9328</td>
<td>0.9556</td>
<td>0.0365</td>
</tr>
<tr>
<th>12</th>
<td>0.6000</td>
<td>0.4000</td>
<td>0.5655</td>
<td>0.0345</td>
<td>0.0377</td>
<td>0.3623</td>
<td>0.5803</td>
<td>0.0249</td>
<td>0.0229</td>
<td>0.3719</td>
<td>0.0254</td>
<td>0.9400</td>
<td>0.9606</td>
<td>0.0314</td>
</tr>
<tr>
<th>13</th>
<td>0.6500</td>
<td>0.3500</td>
<td>0.6124</td>
<td>0.0376</td>
<td>0.0327</td>
<td>0.3173</td>
<td>0.6240</td>
<td>0.0280</td>
<td>0.0211</td>
<td>0.3268</td>
<td>0.0248</td>
<td>0.9457</td>
<td>0.9622</td>
<td>0.0294</td>
</tr>
<tr>
<th>14</th>
<td>0.7000</td>
<td>0.3000</td>
<td>0.6593</td>
<td>0.0407</td>
<td>0.0286</td>
<td>0.2714</td>
<td>0.6680</td>
<td>0.0326</td>
<td>0.0199</td>
<td>0.2794</td>
<td>0.0246</td>
<td>0.9500</td>
<td>0.9623</td>
<td>0.0268</td>
</tr>
<tr>
<th>15</th>
<td>0.7500</td>
<td>0.2500</td>
<td>0.7054</td>
<td>0.0446</td>
<td>0.0242</td>
<td>0.2258</td>
<td>0.7113</td>
<td>0.0367</td>
<td>0.0182</td>
<td>0.2337</td>
<td>0.0244</td>
<td>0.9534</td>
<td>0.9630</td>
<td>0.0240</td>
</tr>
<tr>
<th>16</th>
<td>0.8000</td>
<td>0.2000</td>
<td>0.7528</td>
<td>0.0472</td>
<td>0.0192</td>
<td>0.1808</td>
<td>0.7564</td>
<td>0.0394</td>
<td>0.0156</td>
<td>0.1887</td>
<td>0.0234</td>
<td>0.9577</td>
<td>0.9651</td>
<td>0.0222</td>
</tr>
<tr>
<th>17</th>
<td>0.8500</td>
<td>0.1500</td>
<td>0.8007</td>
<td>0.0493</td>
<td>0.0143</td>
<td>0.1357</td>
<td>0.8004</td>
<td>0.0442</td>
<td>0.0147</td>
<td>0.1407</td>
<td>0.0214</td>
<td>0.9617</td>
<td>0.9646</td>
<td>0.0192</td>
</tr>
<tr>
<th>18</th>
<td>0.9000</td>
<td>0.1000</td>
<td>0.8478</td>
<td>0.0522</td>
<td>0.0094</td>
<td>0.0906</td>
<td>0.8445</td>
<td>0.0472</td>
<td>0.0127</td>
<td>0.0956</td>
<td>0.0191</td>
<td>0.9648</td>
<td>0.9658</td>
<td>0.0163</td>
</tr>
<tr>
<th>19</th>
<td>0.9500</td>
<td>0.0500</td>
<td>0.8945</td>
<td>0.0555</td>
<td>0.0050</td>
<td>0.0450</td>
<td>0.8883</td>
<td>0.0512</td>
<td>0.0112</td>
<td>0.0493</td>
<td>0.0170</td>
<td>0.9672</td>
<td>0.9661</td>
<td>0.0141</td>
</tr>
<tr>
<th>20</th>
<td>1.0000</td>
<td>0.0000</td>
<td>0.9421</td>
<td>0.0579</td>
<td>0.0000</td>
<td>0.0000</td>
<td>0.9306</td>
<td>0.0476</td>
<td>0.0115</td>
<td>0.0103</td>
<td>0.0109</td>
<td>0.9701</td>
<td>0.9691</td>
<td>0.0081</td>
</tr>
</tbody>
</table>
<div> </div>
<div>multiclass</div>
<table border="1" class="dataframe">
<thead>
<tr>
<th></th>
<th colspan="2" halign="left">base</th>
<th colspan="4" halign="left">true</th>
<th colspan="4" halign="left">estim</th>
<th colspan="4" halign="left">errors</th>
</tr>
<tr>
<th></th>
<th>0</th>
<th>1</th>
<th>T0</th>
<th>F1</th>
<th>F0</th>
<th>T1</th>
<th>T0</th>
<th>F1</th>
<th>F0</th>
<th>T1</th>
<th>ae</th>
<th>f1_true</th>
<th>f1_estim</th>
<th>f1_dist</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0.0000</td>
<td>1.0000</td>
<td>0.0000</td>
<td>0.0000</td>
<td>0.0949</td>
<td>0.9052</td>
<td>0.0008</td>
<td>0.0001</td>
<td>0.0202</td>
<td>0.9789</td>
<td>0.0375</td>
<td>NaN</td>
<td>0.0949</td>
<td>NaN</td>
</tr>
<tr>
<th>1</th>
<td>0.0500</td>
<td>0.9500</td>
<td>0.0470</td>
<td>0.0030</td>
<td>0.0908</td>
<td>0.8592</td>
<td>0.0460</td>
<td>0.0001</td>
<td>0.0329</td>
<td>0.9209</td>
<td>0.0368</td>
<td>0.5095</td>
<td>0.7394</td>
<td>0.3362</td>
</tr>
<tr>
<th>2</th>
<td>0.1000</td>
<td>0.9000</td>
<td>0.0940</td>
<td>0.0060</td>
<td>0.0867</td>
<td>0.8133</td>
<td>0.0971</td>
<td>0.0001</td>
<td>0.0379</td>
<td>0.8650</td>
<td>0.0358</td>
<td>0.6748</td>
<td>0.8416</td>
<td>0.2255</td>
</tr>
<tr>
<th>3</th>
<td>0.1500</td>
<td>0.8500</td>
<td>0.1410</td>
<td>0.0090</td>
<td>0.0817</td>
<td>0.7683</td>
<td>0.1459</td>
<td>0.0001</td>
<td>0.0452</td>
<td>0.8088</td>
<td>0.0342</td>
<td>0.7593</td>
<td>0.8626</td>
<td>0.1647</td>
</tr>
<tr>
<th>4</th>
<td>0.2000</td>
<td>0.8000</td>
<td>0.1882</td>
<td>0.0118</td>
<td>0.0761</td>
<td>0.7238</td>
<td>0.1985</td>
<td>0.0001</td>
<td>0.0499</td>
<td>0.7515</td>
<td>0.0324</td>
<td>0.8121</td>
<td>0.8892</td>
<td>0.1246</td>
</tr>
<tr>
<th>5</th>
<td>0.2500</td>
<td>0.7500</td>
<td>0.2360</td>
<td>0.0140</td>
<td>0.0707</td>
<td>0.6794</td>
<td>0.2519</td>
<td>0.0001</td>
<td>0.0511</td>
<td>0.6970</td>
<td>0.0318</td>
<td>0.8491</td>
<td>0.9077</td>
<td>0.0996</td>
</tr>
<tr>
<th>6</th>
<td>0.3000</td>
<td>0.7000</td>
<td>0.2828</td>
<td>0.0173</td>
<td>0.0657</td>
<td>0.6343</td>
<td>0.3042</td>
<td>0.0001</td>
<td>0.0513</td>
<td>0.6444</td>
<td>0.0319</td>
<td>0.8727</td>
<td>0.9216</td>
<td>0.0832</td>
</tr>
<tr>
<th>7</th>
<td>0.3500</td>
<td>0.6500</td>
<td>0.3293</td>
<td>0.0207</td>
<td>0.0630</td>
<td>0.5870</td>
<td>0.3606</td>
<td>0.0001</td>
<td>0.0539</td>
<td>0.5854</td>
<td>0.0350</td>
<td>0.8877</td>
<td>0.9298</td>
<td>0.0756</td>
</tr>
<tr>
<th>8</th>
<td>0.4000</td>
<td>0.6000</td>
<td>0.3759</td>
<td>0.0241</td>
<td>0.0563</td>
<td>0.5438</td>
<td>0.4070</td>
<td>0.0001</td>
<td>0.0580</td>
<td>0.5349</td>
<td>0.0365</td>
<td>0.9037</td>
<td>0.9326</td>
<td>0.0666</td>
</tr>
<tr>
<th>9</th>
<td>0.4500</td>
<td>0.5500</td>
<td>0.4246</td>
<td>0.0254</td>
<td>0.0533</td>
<td>0.4967</td>
<td>0.4652</td>
<td>0.0001</td>
<td>0.0574</td>
<td>0.4773</td>
<td>0.0388</td>
<td>0.9153</td>
<td>0.9412</td>
<td>0.0588</td>
</tr>
<tr>
<th>10</th>
<td>0.5000</td>
<td>0.5000</td>
<td>0.4718</td>
<td>0.0282</td>
<td>0.0475</td>
<td>0.4525</td>
<td>0.5159</td>
<td>0.0001</td>
<td>0.0605</td>
<td>0.4235</td>
<td>0.0417</td>
<td>0.9258</td>
<td>0.9439</td>
<td>0.0526</td>
</tr>
<tr>
<th>11</th>
<td>0.5500</td>
<td>0.4500</td>
<td>0.5181</td>
<td>0.0319</td>
<td>0.0427</td>
<td>0.4073</td>
<td>0.5681</td>
<td>0.0001</td>
<td>0.0574</td>
<td>0.3744</td>
<td>0.0437</td>
<td>0.9328</td>
<td>0.9511</td>
<td>0.0467</td>
</tr>
<tr>
<th>12</th>
<td>0.6000</td>
<td>0.4000</td>
<td>0.5655</td>
<td>0.0345</td>
<td>0.0377</td>
<td>0.3623</td>
<td>0.6211</td>
<td>0.0001</td>
<td>0.0552</td>
<td>0.3236</td>
<td>0.0463</td>
<td>0.9400</td>
<td>0.9568</td>
<td>0.0426</td>
</tr>
<tr>
<th>13</th>
<td>0.6500</td>
<td>0.3500</td>
<td>0.6124</td>
<td>0.0376</td>
<td>0.0327</td>
<td>0.3173</td>
<td>0.6710</td>
<td>0.0001</td>
<td>0.0575</td>
<td>0.2714</td>
<td>0.0496</td>
<td>0.9457</td>
<td>0.9582</td>
<td>0.0385</td>
</tr>
<tr>
<th>14</th>
<td>0.7000</td>
<td>0.3000</td>
<td>0.6593</td>
<td>0.0407</td>
<td>0.0286</td>
<td>0.2714</td>
<td>0.7240</td>
<td>0.0001</td>
<td>0.0541</td>
<td>0.2217</td>
<td>0.0515</td>
<td>0.9500</td>
<td>0.9634</td>
<td>0.0345</td>
</tr>
<tr>
<th>15</th>
<td>0.7500</td>
<td>0.2500</td>
<td>0.7054</td>
<td>0.0446</td>
<td>0.0242</td>
<td>0.2258</td>
<td>0.7750</td>
<td>0.0001</td>
<td>0.0476</td>
<td>0.1773</td>
<td>0.0523</td>
<td>0.9534</td>
<td>0.9697</td>
<td>0.0337</td>
</tr>
<tr>
<th>16</th>
<td>0.8000</td>
<td>0.2000</td>
<td>0.7528</td>
<td>0.0472</td>
<td>0.0192</td>
<td>0.1808</td>
<td>0.8212</td>
<td>0.0001</td>
<td>0.0469</td>
<td>0.1318</td>
<td>0.0526</td>
<td>0.9577</td>
<td>0.9717</td>
<td>0.0296</td>
</tr>
<tr>
<th>17</th>
<td>0.8500</td>
<td>0.1500</td>
<td>0.8007</td>
<td>0.0493</td>
<td>0.0143</td>
<td>0.1357</td>
<td>0.8673</td>
<td>0.0001</td>
<td>0.0443</td>
<td>0.0882</td>
<td>0.0524</td>
<td>0.9617</td>
<td>0.9745</td>
<td>0.0272</td>
</tr>
<tr>
<th>18</th>
<td>0.9000</td>
<td>0.1000</td>
<td>0.8478</td>
<td>0.0522</td>
<td>0.0094</td>
<td>0.0906</td>
<td>0.9127</td>
<td>0.0001</td>
<td>0.0366</td>
<td>0.0506</td>
<td>0.0489</td>
<td>0.9648</td>
<td>0.9799</td>
<td>0.0250</td>
</tr>
<tr>
<th>19</th>
<td>0.9500</td>
<td>0.0500</td>
<td>0.8945</td>
<td>0.0555</td>
<td>0.0050</td>
<td>0.0450</td>
<td>0.9515</td>
<td>0.0001</td>
<td>0.0275</td>
<td>0.0208</td>
<td>0.0423</td>
<td>0.9672</td>
<td>0.9854</td>
<td>0.0235</td>
</tr>
<tr>
<th>20</th>
<td>1.0000</td>
<td>0.0000</td>
<td>0.9421</td>
<td>0.0579</td>
<td>0.0000</td>
<td>0.0000</td>
<td>0.9762</td>
<td>0.0001</td>
<td>0.0190</td>
<td>0.0047</td>
<td>0.0301</td>
<td>0.9701</td>
<td>0.9901</td>
<td>0.0222</td>
</tr>
</tbody>
</table>
</body>
</html>