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Lorenzo Volpi 2023-11-22 19:26:48 +01:00
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<div>target: default</div>
<div>train: [0.5 0.5]</div>
<div>validation: [0.5 0.5]</div>
<div>evaluate_binary: 277.300s</div>
<div>evaluate_multiclass: 139.986s</div>
<div>kfcv: 98.625s</div>
<div>atc_mc: 93.304s</div>
<div>atc_ne: 91.201s</div>
<div>doc_feat: 29.930s</div>
<div>rca_score: 1018.341s</div>
<div>rca_star_score: 1013.733s</div>
<div>tot: 1054.413s</div>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>bin</th>
<th>mul</th>
<th>kfcv</th>
<th>atc_mc</th>
<th>atc_ne</th>
<th>doc_feat</th>
<th>rca</th>
<th>rca_star</th>
</tr>
</thead>
<tbody>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0154</td>
<td>0.0177</td>
<td>0.0249</td>
<td>0.0291</td>
<td>0.0291</td>
<td>0.0248</td>
<td>0.2705</td>
<td>0.2413</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0309</td>
<td>0.0284</td>
<td>0.0252</td>
<td>0.0300</td>
<td>0.0300</td>
<td>0.0247</td>
<td>0.2796</td>
<td>0.2504</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0309</td>
<td>0.0302</td>
<td>0.0251</td>
<td>0.0279</td>
<td>0.0279</td>
<td>0.0250</td>
<td>0.2722</td>
<td>0.2430</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0310</td>
<td>0.0339</td>
<td>0.0245</td>
<td>0.0269</td>
<td>0.0269</td>
<td>0.0244</td>
<td>0.2684</td>
<td>0.2392</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0411</td>
<td>0.0407</td>
<td>0.0259</td>
<td>0.0292</td>
<td>0.0292</td>
<td>0.0257</td>
<td>0.2724</td>
<td>0.2432</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0381</td>
<td>0.0376</td>
<td>0.0262</td>
<td>0.0319</td>
<td>0.0319</td>
<td>0.0259</td>
<td>0.2701</td>
<td>0.2409</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0442</td>
<td>0.0452</td>
<td>0.0254</td>
<td>0.0273</td>
<td>0.0273</td>
<td>0.0256</td>
<td>0.2650</td>
<td>0.2358</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0480</td>
<td>0.0498</td>
<td>0.0236</td>
<td>0.0257</td>
<td>0.0257</td>
<td>0.0235</td>
<td>0.2640</td>
<td>0.2347</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0401</td>
<td>0.0431</td>
<td>0.0222</td>
<td>0.0296</td>
<td>0.0296</td>
<td>0.0220</td>
<td>0.2654</td>
<td>0.2361</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0551</td>
<td>0.0558</td>
<td>0.0243</td>
<td>0.0295</td>
<td>0.0295</td>
<td>0.0246</td>
<td>0.1838</td>
<td>0.1551</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0499</td>
<td>0.0513</td>
<td>0.0308</td>
<td>0.0319</td>
<td>0.0319</td>
<td>0.0309</td>
<td>0.1472</td>
<td>0.1202</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0538</td>
<td>0.0542</td>
<td>0.0278</td>
<td>0.0329</td>
<td>0.0329</td>
<td>0.0280</td>
<td>0.1717</td>
<td>0.1459</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0476</td>
<td>0.0484</td>
<td>0.0258</td>
<td>0.0298</td>
<td>0.0298</td>
<td>0.0259</td>
<td>0.2434</td>
<td>0.2147</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0447</td>
<td>0.0474</td>
<td>0.0287</td>
<td>0.0332</td>
<td>0.0332</td>
<td>0.0288</td>
<td>0.2632</td>
<td>0.2340</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0388</td>
<td>0.0397</td>
<td>0.0295</td>
<td>0.0328</td>
<td>0.0328</td>
<td>0.0296</td>
<td>0.2659</td>
<td>0.2367</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0336</td>
<td>0.0399</td>
<td>0.0241</td>
<td>0.0293</td>
<td>0.0293</td>
<td>0.0244</td>
<td>0.2612</td>
<td>0.2320</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.0407</td>
<td>0.0447</td>
<td>0.0266</td>
<td>0.0303</td>
<td>0.0303</td>
<td>0.0271</td>
<td>0.2601</td>
<td>0.2309</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.0383</td>
<td>0.0423</td>
<td>0.0219</td>
<td>0.0278</td>
<td>0.0278</td>
<td>0.0220</td>
<td>0.2670</td>
<td>0.2378</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.0351</td>
<td>0.0387</td>
<td>0.0244</td>
<td>0.0275</td>
<td>0.0275</td>
<td>0.0245</td>
<td>0.2618</td>
<td>0.2326</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.0238</td>
<td>0.0263</td>
<td>0.0269</td>
<td>0.0296</td>
<td>0.0296</td>
<td>0.0272</td>
<td>0.2602</td>
<td>0.2310</td>
</tr>
<tr>
<th>(1.0, 0.0)</th>
<td>0.0118</td>
<td>0.0202</td>
<td>0.0241</td>
<td>0.0279</td>
<td>0.0279</td>
<td>0.0244</td>
<td>0.2571</td>
<td>0.2279</td>
</tr>
</tbody>
</table>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>bin</th>
<th>mul</th>
<th>kfcv</th>
<th>atc_mc</th>
<th>atc_ne</th>
</tr>
</thead>
<tbody>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0088</td>
<td>0.0100</td>
<td>0.0580</td>
<td>0.0183</td>
<td>0.0183</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0175</td>
<td>0.0159</td>
<td>0.0605</td>
<td>0.0193</td>
<td>0.0193</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0184</td>
<td>0.0176</td>
<td>0.0532</td>
<td>0.0189</td>
<td>0.0189</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0188</td>
<td>0.0204</td>
<td>0.0475</td>
<td>0.0180</td>
<td>0.0180</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0269</td>
<td>0.0266</td>
<td>0.0455</td>
<td>0.0206</td>
<td>0.0206</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0265</td>
<td>0.0261</td>
<td>0.0401</td>
<td>0.0242</td>
<td>0.0242</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0328</td>
<td>0.0336</td>
<td>0.0331</td>
<td>0.0208</td>
<td>0.0208</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0386</td>
<td>0.0394</td>
<td>0.0307</td>
<td>0.0211</td>
<td>0.0211</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0343</td>
<td>0.0371</td>
<td>0.0273</td>
<td>0.0265</td>
<td>0.0265</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0511</td>
<td>0.0512</td>
<td>0.0231</td>
<td>0.0275</td>
<td>0.0275</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0517</td>
<td>0.0529</td>
<td>0.0306</td>
<td>0.0319</td>
<td>0.0319</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0584</td>
<td>0.0583</td>
<td>0.0308</td>
<td>0.0354</td>
<td>0.0354</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0590</td>
<td>0.0599</td>
<td>0.0363</td>
<td>0.0357</td>
<td>0.0357</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0635</td>
<td>0.0662</td>
<td>0.0506</td>
<td>0.0440</td>
<td>0.0440</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0596</td>
<td>0.0638</td>
<td>0.0654</td>
<td>0.0457</td>
<td>0.0457</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0627</td>
<td>0.0744</td>
<td>0.0964</td>
<td>0.0461</td>
<td>0.0461</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.0909</td>
<td>0.0999</td>
<td>0.1400</td>
<td>0.0629</td>
<td>0.0629</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.1052</td>
<td>0.1126</td>
<td>0.1829</td>
<td>0.0727</td>
<td>0.0727</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.1377</td>
<td>0.1481</td>
<td>0.2839</td>
<td>0.1215</td>
<td>0.1215</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.1305</td>
<td>0.1450</td>
<td>0.4592</td>
<td>0.2037</td>
<td>0.2037</td>
</tr>
<tr>
<th>(1.0, 0.0)</th>
<td>0.1092</td>
<td>0.1387</td>
<td>0.8818</td>
<td>0.5267</td>
<td>0.5267</td>
</tr>
</tbody>
</table>

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<div>target: default</div>
<div>train: [0.60621118 0.39378882]</div>
<div>validation: [0.60559006 0.39440994]</div>
<div>evaluate_binary: 31.883s</div>
<div>evaluate_multiclass: 24.748s</div>
<div>kfcv: 23.957s</div>
<div>atc_mc: 36.062s</div>
<div>atc_ne: 37.123s</div>
<div>doc_feat: 7.063s</div>
<div>rca_score: 148.420s</div>
<div>rca_star_score: 145.690s</div>
<div>tot: 149.118s</div>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>bin</th>
<th>mul</th>
<th>kfcv</th>
<th>atc_mc</th>
<th>atc_ne</th>
<th>doc_feat</th>
<th>rca</th>
<th>rca_star</th>
</tr>
</thead>
<tbody>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0411</td>
<td>0.0907</td>
<td>0.0208</td>
<td>0.0267</td>
<td>0.0267</td>
<td>0.0204</td>
<td>0.1106</td>
<td>0.1059</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0392</td>
<td>0.0897</td>
<td>0.0216</td>
<td>0.0266</td>
<td>0.0266</td>
<td>0.0211</td>
<td>0.0523</td>
<td>0.0510</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0371</td>
<td>0.0891</td>
<td>0.0232</td>
<td>0.0267</td>
<td>0.0267</td>
<td>0.0227</td>
<td>0.0347</td>
<td>0.0354</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0464</td>
<td>0.0853</td>
<td>0.0226</td>
<td>0.0257</td>
<td>0.0257</td>
<td>0.0222</td>
<td>0.0315</td>
<td>0.0341</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0414</td>
<td>0.0757</td>
<td>0.0202</td>
<td>0.0249</td>
<td>0.0249</td>
<td>0.0200</td>
<td>0.0280</td>
<td>0.0302</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0468</td>
<td>0.0768</td>
<td>0.0204</td>
<td>0.0250</td>
<td>0.0250</td>
<td>0.0201</td>
<td>0.0335</td>
<td>0.0376</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0384</td>
<td>0.0739</td>
<td>0.0201</td>
<td>0.0252</td>
<td>0.0252</td>
<td>0.0200</td>
<td>0.0349</td>
<td>0.0410</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0386</td>
<td>0.0715</td>
<td>0.0198</td>
<td>0.0239</td>
<td>0.0239</td>
<td>0.0196</td>
<td>0.0376</td>
<td>0.0448</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0392</td>
<td>0.0657</td>
<td>0.0199</td>
<td>0.0249</td>
<td>0.0249</td>
<td>0.0197</td>
<td>0.0315</td>
<td>0.0391</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0380</td>
<td>0.0679</td>
<td>0.0213</td>
<td>0.0258</td>
<td>0.0258</td>
<td>0.0212</td>
<td>0.0358</td>
<td>0.0450</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0400</td>
<td>0.0670</td>
<td>0.0218</td>
<td>0.0228</td>
<td>0.0228</td>
<td>0.0217</td>
<td>0.0441</td>
<td>0.0550</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0403</td>
<td>0.0686</td>
<td>0.0203</td>
<td>0.0237</td>
<td>0.0237</td>
<td>0.0200</td>
<td>0.0398</td>
<td>0.0507</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0432</td>
<td>0.0625</td>
<td>0.0201</td>
<td>0.0245</td>
<td>0.0245</td>
<td>0.0200</td>
<td>0.0370</td>
<td>0.0487</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0384</td>
<td>0.0620</td>
<td>0.0195</td>
<td>0.0236</td>
<td>0.0236</td>
<td>0.0195</td>
<td>0.0356</td>
<td>0.0460</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0304</td>
<td>0.0570</td>
<td>0.0236</td>
<td>0.0227</td>
<td>0.0227</td>
<td>0.0236</td>
<td>0.0302</td>
<td>0.0396</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0321</td>
<td>0.0614</td>
<td>0.0187</td>
<td>0.0273</td>
<td>0.0273</td>
<td>0.0187</td>
<td>0.0332</td>
<td>0.0439</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.0300</td>
<td>0.0555</td>
<td>0.0221</td>
<td>0.0230</td>
<td>0.0230</td>
<td>0.0222</td>
<td>0.0287</td>
<td>0.0340</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.0325</td>
<td>0.0540</td>
<td>0.0224</td>
<td>0.0229</td>
<td>0.0229</td>
<td>0.0225</td>
<td>0.0342</td>
<td>0.0360</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.0262</td>
<td>0.0518</td>
<td>0.0211</td>
<td>0.0238</td>
<td>0.0238</td>
<td>0.0211</td>
<td>0.0483</td>
<td>0.0469</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.0243</td>
<td>0.0576</td>
<td>0.0197</td>
<td>0.0240</td>
<td>0.0240</td>
<td>0.0196</td>
<td>0.0806</td>
<td>0.0746</td>
</tr>
<tr>
<th>(1.0, 0.0)</th>
<td>0.0146</td>
<td>0.0597</td>
<td>0.0231</td>
<td>0.0244</td>
<td>0.0244</td>
<td>0.0232</td>
<td>0.1600</td>
<td>0.1515</td>
</tr>
</tbody>
</table>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>bin</th>
<th>mul</th>
<th>kfcv</th>
<th>atc_mc</th>
<th>atc_ne</th>
</tr>
</thead>
<tbody>
<tr>
<th>(0.0, 1.0)</th>
<td>0.0239</td>
<td>0.0477</td>
<td>0.0345</td>
<td>0.0162</td>
<td>0.0162</td>
</tr>
<tr>
<th>(0.05, 0.95)</th>
<td>0.0235</td>
<td>0.0496</td>
<td>0.0320</td>
<td>0.0169</td>
<td>0.0169</td>
</tr>
<tr>
<th>(0.1, 0.9)</th>
<td>0.0230</td>
<td>0.0520</td>
<td>0.0289</td>
<td>0.0171</td>
<td>0.0171</td>
</tr>
<tr>
<th>(0.15, 0.85)</th>
<td>0.0308</td>
<td>0.0528</td>
<td>0.0274</td>
<td>0.0171</td>
<td>0.0171</td>
</tr>
<tr>
<th>(0.2, 0.8)</th>
<td>0.0286</td>
<td>0.0490</td>
<td>0.0291</td>
<td>0.0186</td>
<td>0.0186</td>
</tr>
<tr>
<th>(0.25, 0.75)</th>
<td>0.0346</td>
<td>0.0534</td>
<td>0.0255</td>
<td>0.0186</td>
<td>0.0186</td>
</tr>
<tr>
<th>(0.3, 0.7)</th>
<td>0.0299</td>
<td>0.0545</td>
<td>0.0232</td>
<td>0.0205</td>
<td>0.0205</td>
</tr>
<tr>
<th>(0.35, 0.65)</th>
<td>0.0335</td>
<td>0.0566</td>
<td>0.0217</td>
<td>0.0211</td>
<td>0.0211</td>
</tr>
<tr>
<th>(0.4, 0.6)</th>
<td>0.0360</td>
<td>0.0562</td>
<td>0.0217</td>
<td>0.0226</td>
<td>0.0226</td>
</tr>
<tr>
<th>(0.45, 0.55)</th>
<td>0.0372</td>
<td>0.0626</td>
<td>0.0213</td>
<td>0.0246</td>
<td>0.0246</td>
</tr>
<tr>
<th>(0.5, 0.5)</th>
<td>0.0437</td>
<td>0.0677</td>
<td>0.0223</td>
<td>0.0241</td>
<td>0.0241</td>
</tr>
<tr>
<th>(0.55, 0.45)</th>
<td>0.0486</td>
<td>0.0762</td>
<td>0.0241</td>
<td>0.0269</td>
<td>0.0269</td>
</tr>
<tr>
<th>(0.6, 0.4)</th>
<td>0.0572</td>
<td>0.0779</td>
<td>0.0290</td>
<td>0.0312</td>
<td>0.0312</td>
</tr>
<tr>
<th>(0.65, 0.35)</th>
<td>0.0580</td>
<td>0.0866</td>
<td>0.0340</td>
<td>0.0341</td>
<td>0.0341</td>
</tr>
<tr>
<th>(0.7, 0.3)</th>
<td>0.0546</td>
<td>0.0919</td>
<td>0.0420</td>
<td>0.0374</td>
<td>0.0374</td>
</tr>
<tr>
<th>(0.75, 0.25)</th>
<td>0.0636</td>
<td>0.1161</td>
<td>0.0689</td>
<td>0.0533</td>
<td>0.0533</td>
</tr>
<tr>
<th>(0.8, 0.2)</th>
<td>0.0750</td>
<td>0.1192</td>
<td>0.0768</td>
<td>0.0560</td>
<td>0.0560</td>
</tr>
<tr>
<th>(0.85, 0.15)</th>
<td>0.1031</td>
<td>0.1580</td>
<td>0.1244</td>
<td>0.0728</td>
<td>0.0728</td>
</tr>
<tr>
<th>(0.9, 0.1)</th>
<td>0.1175</td>
<td>0.2412</td>
<td>0.1885</td>
<td>0.1100</td>
<td>0.1100</td>
</tr>
<tr>
<th>(0.95, 0.05)</th>
<td>0.1877</td>
<td>0.3434</td>
<td>0.3579</td>
<td>0.2053</td>
<td>0.2053</td>
</tr>
<tr>
<th>(1.0, 0.0)</th>
<td>0.2717</td>
<td>0.3136</td>
<td>0.9178</td>
<td>0.6264</td>
<td>0.6264</td>
</tr>
</tbody>
</table>