OpenML
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19004 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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19004 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.7654, kappa: 0.1642, kb_relative_information_score: 0.2994, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7798, predictive_accuracy: 0.8147, prior_entropy: 0.7087, recall: 0.8147, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4305, root_relative_squared_error: 1.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.7792, kappa: 0.2199, kb_relative_information_score: 0.308, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7846, predictive_accuracy: 0.817, prior_entropy: 0.7087, recall: 0.817, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.0829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.7652, kappa: 0.1641, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7772, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.7615, kappa: 0.1497, kb_relative_information_score: 0.29, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7735, predictive_accuracy: 0.8122, prior_entropy: 0.7087, recall: 0.8122, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, f_measure: 0.7661, kappa: 0.1677, kb_relative_information_score: 0.2938, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.6614, kappa: 0.0829, kb_relative_information_score: -0.4051, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.718, predictive_accuracy: 0.6284, prior_entropy: 0.7087, recall: 0.6284, relative_absolute_error: 1.1906, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6096, root_relative_squared_error: 1.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.7615, kappa: 0.1497, kb_relative_information_score: 0.29, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7735, predictive_accuracy: 0.8122, prior_entropy: 0.7087, recall: 0.8122, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.7629, kappa: 0.1546, kb_relative_information_score: 0.2962, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8139, prior_entropy: 0.7087, recall: 0.8139, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4314, root_relative_squared_error: 1.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.7633, kappa: 0.1567, kb_relative_information_score: 0.2938, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.7769, kappa: 0.21, kb_relative_information_score: 0.3066, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7837, predictive_accuracy: 0.8166, prior_entropy: 0.7087, recall: 0.8166, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.7467, kappa: 0.1644, kb_relative_information_score: 0.0736, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7398, predictive_accuracy: 0.755, prior_entropy: 0.7087, recall: 0.755, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.495, root_relative_squared_error: 1.2531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.769, kappa: 0.1794, kb_relative_information_score: 0.2948, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7769, predictive_accuracy: 0.8135, prior_entropy: 0.7087, recall: 0.8135, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4319, root_relative_squared_error: 1.0932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.7633, kappa: 0.1567, kb_relative_information_score: 0.2924, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7751, predictive_accuracy: 0.8129, prior_entropy: 0.7087, recall: 0.8129, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4326, root_relative_squared_error: 1.0951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.7656, kappa: 0.166, kb_relative_information_score: 0.2924, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7752, predictive_accuracy: 0.8129, prior_entropy: 0.7087, recall: 0.8129, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4326, root_relative_squared_error: 1.0951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.7657, kappa: 0.1657, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7771, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.7632, kappa: 0.1551, kb_relative_information_score: 0.2994, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7803, predictive_accuracy: 0.8147, prior_entropy: 0.7087, recall: 0.8147, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4305, root_relative_squared_error: 1.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, f_measure: 0.7669, kappa: 0.1712, kb_relative_information_score: 0.2934, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7759, predictive_accuracy: 0.8131, prior_entropy: 0.7087, recall: 0.8131, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, f_measure: 0.7486, kappa: 0.166, kb_relative_information_score: 0.0875, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7406, predictive_accuracy: 0.7587, prior_entropy: 0.7087, recall: 0.7587, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4913, root_relative_squared_error: 1.2436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.7635, kappa: 0.1576, kb_relative_information_score: 0.2917, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7747, predictive_accuracy: 0.8127, prior_entropy: 0.7087, recall: 0.8127, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.7512, kappa: 0.1564, kb_relative_information_score: 0.1281, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7395, predictive_accuracy: 0.7694, prior_entropy: 0.7087, recall: 0.7694, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.758, kappa: 0.1584, kb_relative_information_score: 0.1983, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7462, predictive_accuracy: 0.788, prior_entropy: 0.7087, recall: 0.788, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4605, root_relative_squared_error: 1.1657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.7442, kappa: 0.1343, kb_relative_information_score: 0.1, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.732, predictive_accuracy: 0.762, prior_entropy: 0.7087, recall: 0.762, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.7591, kappa: 0.1541, kb_relative_information_score: 0.225, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7496, predictive_accuracy: 0.795, prior_entropy: 0.7087, recall: 0.795, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.747, kappa: 0.1464, kb_relative_information_score: 0.1048, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7356, predictive_accuracy: 0.7633, prior_entropy: 0.7087, recall: 0.7633, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4866, root_relative_squared_error: 1.2317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.7442, kappa: 0.1343, kb_relative_information_score: 0.1, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.732, predictive_accuracy: 0.762, prior_entropy: 0.7087, recall: 0.762, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.758, kappa: 0.1584, kb_relative_information_score: 0.1983, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7462, predictive_accuracy: 0.788, prior_entropy: 0.7087, recall: 0.788, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4605, root_relative_squared_error: 1.1657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.7512, kappa: 0.1564, kb_relative_information_score: 0.1281, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7395, predictive_accuracy: 0.7694, prior_entropy: 0.7087, recall: 0.7694, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, kb_relative_information_score: -15.2785, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.7559, kappa: 0.2192, kb_relative_information_score: 0.0518, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7563, predictive_accuracy: 0.7554, prior_entropy: 0.7087, recall: 0.7554, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.2516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.7587, kappa: 0.1387, kb_relative_information_score: 0.0303, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8126, prior_entropy: 0.7087, recall: 0.8126, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, kb_relative_information_score: -0.0021, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, kb_relative_information_score: -0.001, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, kb_relative_information_score: 0.0038, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, kb_relative_information_score: 0.0065, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, kb_relative_information_score: 0.0024, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.7531, kappa: 0.1171, kb_relative_information_score: 0.0297, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7775, predictive_accuracy: 0.8128, prior_entropy: 0.7087, recall: 0.8128, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, kb_relative_information_score: 0.0025, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, kb_relative_information_score: 0.0055, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, kb_relative_information_score: -0.0387, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, kb_relative_information_score: 0.0002, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, kb_relative_information_score: 0.002, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, kb_relative_information_score: 0.0033, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, kb_relative_information_score: 0.0028, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, kb_relative_information_score: -0.0128, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, kb_relative_information_score: -0.0024, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, kb_relative_information_score: 0.0004, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7314, kappa: 0.0391, kb_relative_information_score: 0.0234, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8094, prior_entropy: 0.7087, recall: 0.8094, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, kb_relative_information_score: 0.0003, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, kb_relative_information_score: 0.0054, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.386, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, kb_relative_information_score: 0.0061, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7303, kappa: 0.0347, kb_relative_information_score: 0.0255, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7636, predictive_accuracy: 0.8078, prior_entropy: 0.7087, recall: 0.8078, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, kb_relative_information_score: 0.0025, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, kb_relative_information_score: 0.0095, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, kb_relative_information_score: 0.0056, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7524, kappa: 0.1146, kb_relative_information_score: 0.0289, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7775, predictive_accuracy: 0.8127, prior_entropy: 0.7087, recall: 0.8127, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, kb_relative_information_score: 0.0039, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, kb_relative_information_score: 0.0022, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, kb_relative_information_score: -0.0102, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, kb_relative_information_score: 0.0046, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.389, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, kb_relative_information_score: 0.0039, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.9681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.7284, kappa: 0.0286, kb_relative_information_score: 0.0184, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8107, predictive_accuracy: 0.8094, prior_entropy: 0.7087, recall: 0.8094, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -622.9138, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 146.8126, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 103.3094, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, kb_relative_information_score: -371.5163, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, kb_relative_information_score: -3.9477, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, kb_relative_information_score: 41.4853, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, kb_relative_information_score: -60.117, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 345.2997, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3956, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, kb_relative_information_score: 279.1283, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, kb_relative_information_score: 77.8278, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, kb_relative_information_score: -45.6302, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -438.6218, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 0.7854, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: 131.5291, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -537.8157, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 1.0154, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, kb_relative_information_score: -213.4127, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 21.1685, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.7442, kappa: 0.1343, kb_relative_information_score: 0.1, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.732, predictive_accuracy: 0.762, prior_entropy: 0.7087, recall: 0.762, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.7442, kappa: 0.1343, kb_relative_information_score: 0.1, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.732, predictive_accuracy: 0.762, prior_entropy: 0.7087, recall: 0.762, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5208, f_measure: 0.7386, kappa: 0.0643, kb_relative_information_score: 0.2862, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7861, predictive_accuracy: 0.8112, prior_entropy: 0.7087, recall: 0.8112, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4345, root_relative_squared_error: 1.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.7215, kappa: 0.0046, kb_relative_information_score: 0.2705, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8443, predictive_accuracy: 0.8071, prior_entropy: 0.7087, recall: 0.8071, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4392, root_relative_squared_error: 1.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2684, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.7356, kappa: 0.0536, kb_relative_information_score: 0.283, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7849, predictive_accuracy: 0.8104, prior_entropy: 0.7087, recall: 0.8104, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4355, root_relative_squared_error: 1.1023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5128, f_measure: 0.7318, kappa: 0.0404, kb_relative_information_score: 0.2806, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7903, predictive_accuracy: 0.8097, prior_entropy: 0.7087, recall: 0.8097, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4362, root_relative_squared_error: 1.1042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7689, kappa: 0.1784, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.7442, kappa: 0.1343, kb_relative_information_score: 0.1, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.732, predictive_accuracy: 0.762, prior_entropy: 0.7087, recall: 0.762, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.7512, kappa: 0.1564, kb_relative_information_score: 0.1281, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7395, predictive_accuracy: 0.7694, prior_entropy: 0.7087, recall: 0.7694, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.7512, kappa: 0.1564, kb_relative_information_score: 0.1281, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7395, predictive_accuracy: 0.7694, prior_entropy: 0.7087, recall: 0.7694, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.2156,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs