OpenML
Supervised Classification on jungle_chess_2pcs_raw_endgame_complete

Supervised Classification on jungle_chess_2pcs_raw_endgame_complete

Task 167119 Supervised Classification jungle_chess_2pcs_raw_endgame_complete 6903 runs submitted
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  • OpenML-CC18 study_218 study_99
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6903 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0.0001, kb_relative_information_score: 0.0509, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, predictive_accuracy: 0.439, prior_entropy: 1.3491, recall: 0.439, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6115, root_relative_squared_error: 1.3972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8554, kappa: 0.7485, kb_relative_information_score: 0.7607, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8553, predictive_accuracy: 0.8556, prior_entropy: 1.3491, recall: 0.8556, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.7997, kappa: 0.6508, kb_relative_information_score: 0.5532, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7998, predictive_accuracy: 0.8025, prior_entropy: 1.3491, recall: 0.8025, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8662, kappa: 0.7672, kb_relative_information_score: 0.7327, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8659, predictive_accuracy: 0.8667, prior_entropy: 1.3491, recall: 0.8667, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.785, kappa: 0.6247, kb_relative_information_score: 0.6207, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7845, predictive_accuracy: 0.7874, prior_entropy: 1.3491, recall: 0.7874, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.6561, kappa: 0.4059, kb_relative_information_score: 0.3189, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.6609, predictive_accuracy: 0.6807, prior_entropy: 1.3491, recall: 0.6807, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8629, kappa: 0.7617, kb_relative_information_score: 0.6983, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8624, predictive_accuracy: 0.8637, prior_entropy: 1.3491, recall: 0.8637, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8642, kappa: 0.7638, kb_relative_information_score: 0.7707, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8638, predictive_accuracy: 0.8648, prior_entropy: 1.3491, recall: 0.8648, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.7145, kappa: 0.5399, kb_relative_information_score: 0.3836, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7767, predictive_accuracy: 0.753, prior_entropy: 1.3491, recall: 0.753, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.8667, kappa: 0.7682, kb_relative_information_score: 0.732, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8663, predictive_accuracy: 0.8672, prior_entropy: 1.3491, recall: 0.8672, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8376, kappa: 0.7178, kb_relative_information_score: 0.6056, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8378, predictive_accuracy: 0.8403, prior_entropy: 1.3491, recall: 0.8403, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8697, kappa: 0.7734, kb_relative_information_score: 0.7638, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8694, predictive_accuracy: 0.8701, prior_entropy: 1.3491, recall: 0.8701, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.7998, kappa: 0.6514, kb_relative_information_score: 0.7066, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7994, predictive_accuracy: 0.8004, prior_entropy: 1.3491, recall: 0.8004, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4052, kappa: -0, kb_relative_information_score: -0.0015, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.4252, predictive_accuracy: 0.3932, prior_entropy: 1.3491, recall: 0.3932, relative_absolute_error: 1.0557, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.636, root_relative_squared_error: 1.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8608, kappa: 0.758, kb_relative_information_score: 0.7371, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8604, predictive_accuracy: 0.8614, prior_entropy: 1.3491, recall: 0.8614, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8598, kappa: 0.7563, kb_relative_information_score: 0.7424, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8593, predictive_accuracy: 0.8605, prior_entropy: 1.3491, recall: 0.8605, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.5246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8674, kappa: 0.7694, kb_relative_information_score: 0.7753, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8671, predictive_accuracy: 0.8678, prior_entropy: 1.3491, recall: 0.8678, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, f_measure: 0.4152, kappa: 0.0476, kb_relative_information_score: 0.0685, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.47, predictive_accuracy: 0.4392, prior_entropy: 1.3491, recall: 0.4392, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6096, root_relative_squared_error: 1.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8367, kappa: 0.7165, kb_relative_information_score: 0.582, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.838, predictive_accuracy: 0.8402, prior_entropy: 1.3491, recall: 0.8402, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8356, kappa: 0.7136, kb_relative_information_score: 0.6121, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8353, predictive_accuracy: 0.8374, prior_entropy: 1.3491, recall: 0.8374, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.6384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.8652, kappa: 0.7656, kb_relative_information_score: 0.7177, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8649, predictive_accuracy: 0.8657, prior_entropy: 1.3491, recall: 0.8657, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.5472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.868, kappa: 0.7705, kb_relative_information_score: 0.7875, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8677, predictive_accuracy: 0.8684, prior_entropy: 1.3491, recall: 0.8684, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8715, kappa: 0.7765, kb_relative_information_score: 0.7319, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8711, predictive_accuracy: 0.872, prior_entropy: 1.3491, recall: 0.872, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8648, kappa: 0.7648, kb_relative_information_score: 0.7167, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8644, predictive_accuracy: 0.8653, prior_entropy: 1.3491, recall: 0.8653, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3134, kappa: -0, kb_relative_information_score: -0.1383, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.4252, predictive_accuracy: 0.2805, prior_entropy: 1.3491, recall: 0.2805, relative_absolute_error: 1.2519, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6926, root_relative_squared_error: 1.5823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.858, kappa: 0.753, kb_relative_information_score: 0.7753, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8576, predictive_accuracy: 0.8584, prior_entropy: 1.3491, recall: 0.8584, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.239, root_relative_squared_error: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8618, kappa: 0.7598, kb_relative_information_score: 0.7123, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8613, predictive_accuracy: 0.8626, prior_entropy: 1.3491, recall: 0.8626, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8582, kappa: 0.7534, kb_relative_information_score: 0.7767, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8578, predictive_accuracy: 0.8587, prior_entropy: 1.3491, recall: 0.8587, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8515, kappa: 0.7417, kb_relative_information_score: 0.6693, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8511, predictive_accuracy: 0.8522, prior_entropy: 1.3491, recall: 0.8522, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8542, kappa: 0.7466, kb_relative_information_score: 0.6573, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8538, predictive_accuracy: 0.8556, prior_entropy: 1.3491, recall: 0.8556, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.821, kappa: 0.6879, kb_relative_information_score: 0.5811, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8211, predictive_accuracy: 0.8234, prior_entropy: 1.3491, recall: 0.8234, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.6576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.8054, kappa: 0.6611, kb_relative_information_score: 0.706, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.805, predictive_accuracy: 0.806, prior_entropy: 1.3491, recall: 0.806, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.4114, kappa: 0.0004, kb_relative_information_score: 0.0169, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.4255, predictive_accuracy: 0.4101, prior_entropy: 1.3491, recall: 0.4101, relative_absolute_error: 1.0262, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6271, root_relative_squared_error: 1.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.8114, kappa: 0.6717, kb_relative_information_score: 0.6572, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8111, predictive_accuracy: 0.8116, prior_entropy: 1.3491, recall: 0.8116, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8615, kappa: 0.7592, kb_relative_information_score: 0.7835, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8611, predictive_accuracy: 0.862, prior_entropy: 1.3491, recall: 0.862, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.6598, kappa: 0.4104, kb_relative_information_score: 0.3189, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.6632, predictive_accuracy: 0.6813, prior_entropy: 1.3491, recall: 0.6813, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.377, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8671, kappa: 0.7688, kb_relative_information_score: 0.7233, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8668, predictive_accuracy: 0.8675, prior_entropy: 1.3491, recall: 0.8675, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8309, kappa: 0.7056, kb_relative_information_score: 0.649, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8304, predictive_accuracy: 0.832, prior_entropy: 1.3491, recall: 0.832, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0483, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, predictive_accuracy: 0.431, prior_entropy: 1.3491, recall: 0.431, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6159, root_relative_squared_error: 1.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8641, kappa: 0.7636, kb_relative_information_score: 0.7093, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8637, predictive_accuracy: 0.8646, prior_entropy: 1.3491, recall: 0.8646, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8687, kappa: 0.7717, kb_relative_information_score: 0.7534, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8684, predictive_accuracy: 0.8692, prior_entropy: 1.3491, recall: 0.8692, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4053, kappa: 0.0001, kb_relative_information_score: -0.0014, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.4253, predictive_accuracy: 0.3933, prior_entropy: 1.3491, recall: 0.3933, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.636, root_relative_squared_error: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4237, kappa: -0.0001, kb_relative_information_score: 0.0329, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.4252, predictive_accuracy: 0.4224, prior_entropy: 1.3491, recall: 0.4224, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6205, root_relative_squared_error: 1.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.7908, kappa: 0.6439, kb_relative_information_score: 0.4846, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8045, predictive_accuracy: 0.8038, prior_entropy: 1.3491, recall: 0.8038, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.7132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8267, kappa: 0.6986, kb_relative_information_score: 0.6625, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8265, predictive_accuracy: 0.827, prior_entropy: 1.3491, recall: 0.827, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.6747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.865, kappa: 0.7652, kb_relative_information_score: 0.7167, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8647, predictive_accuracy: 0.8656, prior_entropy: 1.3491, recall: 0.8656, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8515, kappa: 0.7417, kb_relative_information_score: 0.6693, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8511, predictive_accuracy: 0.8522, prior_entropy: 1.3491, recall: 0.8522, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8617, kappa: 0.7596, kb_relative_information_score: 0.7822, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8614, predictive_accuracy: 0.8621, prior_entropy: 1.3491, recall: 0.8621, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8123, kappa: 0.6732, kb_relative_information_score: 0.7083, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8119, predictive_accuracy: 0.8128, prior_entropy: 1.3491, recall: 0.8128, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8699, kappa: 0.7738, kb_relative_information_score: 0.791, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8695, predictive_accuracy: 0.8703, prior_entropy: 1.3491, recall: 0.8703, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.5109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8609, kappa: 0.758, kb_relative_information_score: 0.7651, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8605, predictive_accuracy: 0.8613, prior_entropy: 1.3491, recall: 0.8613, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8034, kappa: 0.6578, kb_relative_information_score: 0.7063, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8031, predictive_accuracy: 0.8038, prior_entropy: 1.3491, recall: 0.8038, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.6157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8693, kappa: 0.7727, kb_relative_information_score: 0.7342, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.869, predictive_accuracy: 0.8698, prior_entropy: 1.3491, recall: 0.8698, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8625, kappa: 0.7608, kb_relative_information_score: 0.7719, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8622, predictive_accuracy: 0.8628, prior_entropy: 1.3491, recall: 0.8628, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.5527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8621, kappa: 0.76, kb_relative_information_score: 0.7146, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8617, predictive_accuracy: 0.8627, prior_entropy: 1.3491, recall: 0.8627, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8515, kappa: 0.7417, kb_relative_information_score: 0.6693, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8511, predictive_accuracy: 0.8522, prior_entropy: 1.3491, recall: 0.8522, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8375, kappa: 0.7171, kb_relative_information_score: 0.6999, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8372, predictive_accuracy: 0.8379, prior_entropy: 1.3491, recall: 0.8379, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.7908, kappa: 0.6439, kb_relative_information_score: 0.4846, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8045, predictive_accuracy: 0.8038, prior_entropy: 1.3491, recall: 0.8038, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.7132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8672, kappa: 0.769, kb_relative_information_score: 0.7235, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8669, predictive_accuracy: 0.8677, prior_entropy: 1.3491, recall: 0.8677, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.7673, kappa: 0.5951, kb_relative_information_score: 0.6397, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7671, predictive_accuracy: 0.7676, prior_entropy: 1.3491, recall: 0.7676, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.332, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8114, kappa: 0.6755, kb_relative_information_score: 0.5067, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8211, predictive_accuracy: 0.8202, prior_entropy: 1.3491, recall: 0.8202, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.852, kappa: 0.7427, kb_relative_information_score: 0.6456, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8517, predictive_accuracy: 0.8537, prior_entropy: 1.3491, recall: 0.8537, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, kappa: 0.4599, kb_relative_information_score: 0.2258, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, predictive_accuracy: 0.7123, prior_entropy: 1.3491, recall: 0.7123, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.4246, kappa: 0.051, kb_relative_information_score: 0.0171, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.463, predictive_accuracy: 0.402, prior_entropy: 1.3491, recall: 0.402, relative_absolute_error: 1.0404, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6314, root_relative_squared_error: 1.4425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8595, kappa: 0.7557, kb_relative_information_score: 0.6898, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8591, predictive_accuracy: 0.8603, prior_entropy: 1.3491, recall: 0.8603, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8571, kappa: 0.7514, kb_relative_information_score: 0.7771, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8567, predictive_accuracy: 0.8575, prior_entropy: 1.3491, recall: 0.8575, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.7999, kappa: 0.6512, kb_relative_information_score: 0.5722, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7993, predictive_accuracy: 0.8012, prior_entropy: 1.3491, recall: 0.8012, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.7752, kappa: 0.6087, kb_relative_information_score: 0.676, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7748, predictive_accuracy: 0.7757, prior_entropy: 1.3491, recall: 0.7757, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8525, kappa: 0.7433, kb_relative_information_score: 0.6851, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8521, predictive_accuracy: 0.8531, prior_entropy: 1.3491, recall: 0.8531, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.6587, kappa: 0.4092, kb_relative_information_score: 0.3189, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.6628, predictive_accuracy: 0.6815, prior_entropy: 1.3491, recall: 0.6815, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.377, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8514, kappa: 0.7415, kb_relative_information_score: 0.7652, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8511, predictive_accuracy: 0.8516, prior_entropy: 1.3491, recall: 0.8516, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.5663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8736, kappa: 0.7802, kb_relative_information_score: 0.7509, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8733, predictive_accuracy: 0.874, prior_entropy: 1.3491, recall: 0.874, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.5171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.736, kappa: 0.5739, kb_relative_information_score: 0.4202, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7837, predictive_accuracy: 0.7703, prior_entropy: 1.3491, recall: 0.7703, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.7234, kappa: 0.5533, kb_relative_information_score: 0.396, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7625, predictive_accuracy: 0.7597, prior_entropy: 1.3491, recall: 0.7597, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3443, kappa: 0.0001, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.4253, predictive_accuracy: 0.3555, prior_entropy: 1.3491, recall: 0.3555, relative_absolute_error: 1.1212, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6555, root_relative_squared_error: 1.4975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8777, kappa: 0.7873, kb_relative_information_score: 0.7781, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8774, predictive_accuracy: 0.878, prior_entropy: 1.3491, recall: 0.878, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8468, kappa: 0.7334, kb_relative_information_score: 0.6491, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8463, predictive_accuracy: 0.8477, prior_entropy: 1.3491, recall: 0.8477, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.6045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.87, kappa: 0.7739, kb_relative_information_score: 0.7721, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8697, predictive_accuracy: 0.8703, prior_entropy: 1.3491, recall: 0.8703, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7908, kappa: 0.6438, kb_relative_information_score: 0.4846, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8043, predictive_accuracy: 0.8038, prior_entropy: 1.3491, recall: 0.8038, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.7133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8523, kappa: 0.743, kb_relative_information_score: 0.6841, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8519, predictive_accuracy: 0.8529, prior_entropy: 1.3491, recall: 0.8529, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8724, kappa: 0.7782, kb_relative_information_score: 0.7823, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8721, predictive_accuracy: 0.8729, prior_entropy: 1.3491, recall: 0.8729, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4111, kappa: -0.0001, kb_relative_information_score: 0.0164, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.4252, predictive_accuracy: 0.4098, prior_entropy: 1.3491, recall: 0.4098, relative_absolute_error: 1.0268, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6273, root_relative_squared_error: 1.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8654, kappa: 0.766, kb_relative_information_score: 0.7812, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.865, predictive_accuracy: 0.8659, prior_entropy: 1.3491, recall: 0.8659, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5716, f_measure: 0.6016, kappa: 0.2903, kb_relative_information_score: 0.3202, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.6139, predictive_accuracy: 0.6124, prior_entropy: 1.3491, recall: 0.6124, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.492, root_relative_squared_error: 1.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7739, kappa: 0.6067, kb_relative_information_score: 0.5587, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7776, predictive_accuracy: 0.775, prior_entropy: 1.3491, recall: 0.775, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8657, kappa: 0.7664, kb_relative_information_score: 0.765, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8655, predictive_accuracy: 0.866, prior_entropy: 1.3491, recall: 0.866, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.4012, kappa: 0.0159, kb_relative_information_score: -0.0073, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.4367, predictive_accuracy: 0.3845, prior_entropy: 1.3491, recall: 0.3845, relative_absolute_error: 1.0708, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6405, root_relative_squared_error: 1.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.7614, kappa: 0.6052, kb_relative_information_score: 0.4566, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7823, predictive_accuracy: 0.7852, prior_entropy: 1.3491, recall: 0.7852, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.32, root_relative_squared_error: 0.7311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8679, kappa: 0.7703, kb_relative_information_score: 0.7287, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8676, predictive_accuracy: 0.8684, prior_entropy: 1.3491, recall: 0.8684, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8381, kappa: 0.7186, kb_relative_information_score: 0.6056, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8382, predictive_accuracy: 0.8407, prior_entropy: 1.3491, recall: 0.8407, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8522, kappa: 0.743, kb_relative_information_score: 0.6709, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8516, predictive_accuracy: 0.8535, prior_entropy: 1.3491, recall: 0.8535, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 0.0178, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, predictive_accuracy: 0.4139, prior_entropy: 1.3491, recall: 0.4139, relative_absolute_error: 1.0197, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.6251, root_relative_squared_error: 1.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8581, kappa: 0.7534, kb_relative_information_score: 0.7357, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8577, predictive_accuracy: 0.8588, prior_entropy: 1.3491, recall: 0.8588, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8243, kappa: 0.6951, kb_relative_information_score: 0.559, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8272, predictive_accuracy: 0.829, prior_entropy: 1.3491, recall: 0.829, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, kappa: 0.5393, kb_relative_information_score: 0.3675, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, predictive_accuracy: 0.7524, prior_entropy: 1.3491, recall: 0.7524, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.7789, kappa: 0.6141, kb_relative_information_score: 0.6147, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7785, predictive_accuracy: 0.7816, prior_entropy: 1.3491, recall: 0.7816, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.87, kappa: 0.7739, kb_relative_information_score: 0.7837, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8696, predictive_accuracy: 0.8705, prior_entropy: 1.3491, recall: 0.8705, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8415, kappa: 0.7248, kb_relative_information_score: 0.6129, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8419, predictive_accuracy: 0.8442, prior_entropy: 1.3491, recall: 0.8442, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.6115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8333, kappa: 0.7097, kb_relative_information_score: 0.6018, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8335, predictive_accuracy: 0.8357, prior_entropy: 1.3491, recall: 0.8357, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.84, kappa: 0.7214, kb_relative_information_score: 0.6144, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8397, predictive_accuracy: 0.8416, prior_entropy: 1.3491, recall: 0.8416, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6293,

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

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

OpenML APIs