Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 16054 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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16054 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9133, kappa: 0.869, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9135, predictive_accuracy: 0.9135, prior_entropy: 1.7146, recall: 0.9135, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9141, kappa: 0.8701, kb_relative_information_score: 0.8787, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9141, predictive_accuracy: 0.9142, prior_entropy: 1.7146, recall: 0.9142, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9148, kappa: 0.8713, kb_relative_information_score: 0.8811, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9149, predictive_accuracy: 0.915, prior_entropy: 1.7146, recall: 0.915, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9151, kappa: 0.8717, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9153, predictive_accuracy: 0.9153, prior_entropy: 1.7146, recall: 0.9153, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.9139, kappa: 0.8698, kb_relative_information_score: 0.8781, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.914, predictive_accuracy: 0.914, prior_entropy: 1.7146, recall: 0.914, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9115, kappa: 0.8663, kb_relative_information_score: 0.876, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9116, predictive_accuracy: 0.9117, prior_entropy: 1.7146, recall: 0.9117, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8363, kappa: 0.7362, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.877, predictive_accuracy: 0.8171, prior_entropy: 1.7146, recall: 0.8171, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.7432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9119, kappa: 0.8667, kb_relative_information_score: 0.8757, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 1.7146, recall: 0.912, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.9142, kappa: 0.8704, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9144, predictive_accuracy: 0.9144, prior_entropy: 1.7146, recall: 0.9144, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9146, kappa: 0.8709, kb_relative_information_score: 0.879, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9147, predictive_accuracy: 0.9148, prior_entropy: 1.7146, recall: 0.9148, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.9125, kappa: 0.8678, kb_relative_information_score: 0.8762, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9127, predictive_accuracy: 0.9128, prior_entropy: 1.7146, recall: 0.9128, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8554, kappa: 0.7807, kb_relative_information_score: 0.7994, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8641, predictive_accuracy: 0.8523, prior_entropy: 1.7146, recall: 0.8523, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.6679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.916, kappa: 0.8732, kb_relative_information_score: 0.882, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9162, predictive_accuracy: 0.9162, prior_entropy: 1.7146, recall: 0.9162, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.5029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.9116, kappa: 0.8665, kb_relative_information_score: 0.8754, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9118, predictive_accuracy: 0.9118, prior_entropy: 1.7146, recall: 0.9118, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.21, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8276, kappa: 0.7326, kb_relative_information_score: 0.7545, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8546, predictive_accuracy: 0.8163, prior_entropy: 1.7146, recall: 0.8163, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9149, kappa: 0.8715, kb_relative_information_score: 0.8803, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9151, predictive_accuracy: 0.9151, prior_entropy: 1.7146, recall: 0.9151, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.206, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9133, kappa: 0.869, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9134, predictive_accuracy: 0.9135, prior_entropy: 1.7146, recall: 0.9135, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9146, kappa: 0.871, kb_relative_information_score: 0.8798, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9148, predictive_accuracy: 0.9148, prior_entropy: 1.7146, recall: 0.9148, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.9148, kappa: 0.8712, kb_relative_information_score: 0.8802, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9149, predictive_accuracy: 0.915, prior_entropy: 1.7146, recall: 0.915, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9111, kappa: 0.8656, kb_relative_information_score: 0.8739, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9113, predictive_accuracy: 0.9113, prior_entropy: 1.7146, recall: 0.9113, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.5175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9144, kappa: 0.8706, kb_relative_information_score: 0.8788, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9146, predictive_accuracy: 0.9146, prior_entropy: 1.7146, recall: 0.9146, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8852, kappa: 0.8264, kb_relative_information_score: 0.8369, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8852, predictive_accuracy: 0.8856, prior_entropy: 1.7146, recall: 0.8856, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.838, kappa: 0.7511, kb_relative_information_score: 0.7739, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8584, predictive_accuracy: 0.8299, prior_entropy: 1.7146, recall: 0.8299, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.7166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9155, kappa: 0.8724, kb_relative_information_score: 0.8821, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9156, predictive_accuracy: 0.9157, prior_entropy: 1.7146, recall: 0.9157, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9133, kappa: 0.869, kb_relative_information_score: 0.8786, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9134, predictive_accuracy: 0.9135, prior_entropy: 1.7146, recall: 0.9135, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9141, kappa: 0.8701, kb_relative_information_score: 0.8788, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9143, predictive_accuracy: 0.9142, prior_entropy: 1.7146, recall: 0.9142, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.915, kappa: 0.8715, kb_relative_information_score: 0.8804, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9152, predictive_accuracy: 0.9151, prior_entropy: 1.7146, recall: 0.9151, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.206, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8921, kappa: 0.8367, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8925, predictive_accuracy: 0.8926, prior_entropy: 1.7146, recall: 0.8926, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8921, kappa: 0.8367, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8925, predictive_accuracy: 0.8926, prior_entropy: 1.7146, recall: 0.8926, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8883, kappa: 0.8313, kb_relative_information_score: 0.8419, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8885, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9168, kappa: 0.8743, kb_relative_information_score: 0.8829, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9169, predictive_accuracy: 0.917, prior_entropy: 1.7146, recall: 0.917, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8402, kappa: 0.7534, kb_relative_information_score: 0.7741, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8605, predictive_accuracy: 0.8319, prior_entropy: 1.7146, recall: 0.8319, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8921, kappa: 0.8367, kb_relative_information_score: 0.8463, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8926, predictive_accuracy: 0.8926, prior_entropy: 1.7146, recall: 0.8926, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9142, kappa: 0.8704, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9143, predictive_accuracy: 0.9144, prior_entropy: 1.7146, recall: 0.9144, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.9127, kappa: 0.868, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9129, predictive_accuracy: 0.9129, prior_entropy: 1.7146, recall: 0.9129, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9122, kappa: 0.8674, kb_relative_information_score: 0.8767, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9123, predictive_accuracy: 0.9124, prior_entropy: 1.7146, recall: 0.9124, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9124, kappa: 0.8676, kb_relative_information_score: 0.8767, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9126, predictive_accuracy: 0.9126, prior_entropy: 1.7146, recall: 0.9126, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9103, kappa: 0.8646, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9105, predictive_accuracy: 0.9106, prior_entropy: 1.7146, recall: 0.9106, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9137, kappa: 0.8695, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9138, predictive_accuracy: 0.9139, prior_entropy: 1.7146, recall: 0.9139, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9119, kappa: 0.8666, kb_relative_information_score: 0.875, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9121, predictive_accuracy: 0.912, prior_entropy: 1.7146, recall: 0.912, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.916, kappa: 0.8732, kb_relative_information_score: 0.8817, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9162, predictive_accuracy: 0.9162, prior_entropy: 1.7146, recall: 0.9162, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.5029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.914, kappa: 0.8699, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9143, predictive_accuracy: 0.9142, prior_entropy: 1.7146, recall: 0.9142, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8895, kappa: 0.8327, kb_relative_information_score: 0.8422, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 1.7146, recall: 0.89, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.9164, kappa: 0.8738, kb_relative_information_score: 0.8827, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9166, predictive_accuracy: 0.9166, prior_entropy: 1.7146, recall: 0.9166, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9168, kappa: 0.8743, kb_relative_information_score: 0.8826, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.917, predictive_accuracy: 0.917, prior_entropy: 1.7146, recall: 0.917, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9096, kappa: 0.8634, kb_relative_information_score: 0.8722, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9098, predictive_accuracy: 0.9098, prior_entropy: 1.7146, recall: 0.9098, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8407, kappa: 0.7544, kb_relative_information_score: 0.7749, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8594, predictive_accuracy: 0.8332, prior_entropy: 1.7146, recall: 0.8332, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9147, kappa: 0.8711, kb_relative_information_score: 0.8789, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9149, predictive_accuracy: 0.915, prior_entropy: 1.7146, recall: 0.915, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9172, kappa: 0.8748, kb_relative_information_score: 0.8831, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9173, predictive_accuracy: 0.9173, prior_entropy: 1.7146, recall: 0.9173, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9141, kappa: 0.8702, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9142, predictive_accuracy: 0.9142, prior_entropy: 1.7146, recall: 0.9142, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8879, kappa: 0.831, kb_relative_information_score: 0.8432, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.888, predictive_accuracy: 0.8884, prior_entropy: 1.7146, recall: 0.8884, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8858, kappa: 0.8278, kb_relative_information_score: 0.8396, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8858, predictive_accuracy: 0.8864, prior_entropy: 1.7146, recall: 0.8864, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8729, kappa: 0.809, kb_relative_information_score: 0.8259, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8744, predictive_accuracy: 0.8726, prior_entropy: 1.7146, recall: 0.8726, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8886, kappa: 0.8316, kb_relative_information_score: 0.8435, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8887, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8883, kappa: 0.8313, kb_relative_information_score: 0.8419, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8885, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9144, kappa: 0.8706, kb_relative_information_score: 0.8791, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9145, predictive_accuracy: 0.9146, prior_entropy: 1.7146, recall: 0.9146, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8942, kappa: 0.84, kb_relative_information_score: 0.849, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8947, predictive_accuracy: 0.8948, prior_entropy: 1.7146, recall: 0.8948, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8855, kappa: 0.8274, kb_relative_information_score: 0.8387, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8855, predictive_accuracy: 0.886, prior_entropy: 1.7146, recall: 0.886, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.5867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8922, kappa: 0.8368, kb_relative_information_score: 0.8469, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8926, predictive_accuracy: 0.8926, prior_entropy: 1.7146, recall: 0.8926, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8906, kappa: 0.8344, kb_relative_information_score: 0.8439, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8911, predictive_accuracy: 0.8911, prior_entropy: 1.7146, recall: 0.8911, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9151, kappa: 0.8718, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9153, predictive_accuracy: 0.9153, prior_entropy: 1.7146, recall: 0.9153, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9124, kappa: 0.8676, kb_relative_information_score: 0.8771, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9125, predictive_accuracy: 0.9126, prior_entropy: 1.7146, recall: 0.9126, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9135, kappa: 0.8691, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9137, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9131, kappa: 0.8687, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9133, predictive_accuracy: 0.9133, prior_entropy: 1.7146, recall: 0.9133, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8428, kappa: 0.7488, kb_relative_information_score: 0.768, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8773, predictive_accuracy: 0.8272, prior_entropy: 1.7146, recall: 0.8272, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.294, root_relative_squared_error: 0.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.722, kappa: 0.5514, kb_relative_information_score: 0.5705, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8488, predictive_accuracy: 0.6662, prior_entropy: 1.7146, recall: 0.6662, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9122, kappa: 0.8674, kb_relative_information_score: 0.8767, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9123, predictive_accuracy: 0.9124, prior_entropy: 1.7146, recall: 0.9124, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9124, kappa: 0.8676, kb_relative_information_score: 0.8767, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9126, predictive_accuracy: 0.9126, prior_entropy: 1.7146, recall: 0.9126, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9142, kappa: 0.8704, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9143, predictive_accuracy: 0.9144, prior_entropy: 1.7146, recall: 0.9144, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9135, kappa: 0.8693, kb_relative_information_score: 0.8784, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9136, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9159, kappa: 0.8728, kb_relative_information_score: 0.8807, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.916, predictive_accuracy: 0.9161, prior_entropy: 1.7146, recall: 0.9161, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9127, kappa: 0.8681, kb_relative_information_score: 0.8762, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9129, predictive_accuracy: 0.9129, prior_entropy: 1.7146, recall: 0.9129, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9113, kappa: 0.8657, kb_relative_information_score: 0.8739, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9116, predictive_accuracy: 0.9115, prior_entropy: 1.7146, recall: 0.9115, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8905, kappa: 0.8343, kb_relative_information_score: 0.8428, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8911, predictive_accuracy: 0.8911, prior_entropy: 1.7146, recall: 0.8911, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8882, kappa: 0.8308, kb_relative_information_score: 0.8398, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8891, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.9116, kappa: 0.8664, kb_relative_information_score: 0.8749, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9118, predictive_accuracy: 0.9118, prior_entropy: 1.7146, recall: 0.9118, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.21, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8909, kappa: 0.8349, kb_relative_information_score: 0.8455, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8911, predictive_accuracy: 0.8913, prior_entropy: 1.7146, recall: 0.8913, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9144, kappa: 0.8707, kb_relative_information_score: 0.8795, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9145, predictive_accuracy: 0.9146, prior_entropy: 1.7146, recall: 0.9146, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9123, kappa: 0.8676, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9123, predictive_accuracy: 0.9124, prior_entropy: 1.7146, recall: 0.9124, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8921, kappa: 0.8367, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8925, predictive_accuracy: 0.8926, prior_entropy: 1.7146, recall: 0.8926, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9109, kappa: 0.8654, kb_relative_information_score: 0.8746, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.911, predictive_accuracy: 0.9111, prior_entropy: 1.7146, recall: 0.9111, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.5181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.9163, kappa: 0.8734, kb_relative_information_score: 0.8818, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9164, predictive_accuracy: 0.9164, prior_entropy: 1.7146, recall: 0.9164, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7757, kappa: 0.6383, kb_relative_information_score: 0.6593, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8431, predictive_accuracy: 0.7441, prior_entropy: 1.7146, recall: 0.7441, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.915, kappa: 0.8715, kb_relative_information_score: 0.8807, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9151, predictive_accuracy: 0.9151, prior_entropy: 1.7146, recall: 0.9151, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.206, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9135, kappa: 0.8693, kb_relative_information_score: 0.8788, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9136, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.9113, kappa: 0.866, kb_relative_information_score: 0.8753, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9114, predictive_accuracy: 0.9115, prior_entropy: 1.7146, recall: 0.9115, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9148, kappa: 0.8712, kb_relative_information_score: 0.8803, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9149, predictive_accuracy: 0.915, prior_entropy: 1.7146, recall: 0.915, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9115, kappa: 0.8662, kb_relative_information_score: 0.8752, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9116, predictive_accuracy: 0.9117, prior_entropy: 1.7146, recall: 0.9117, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9169, kappa: 0.8745, kb_relative_information_score: 0.8828, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9171, predictive_accuracy: 0.9172, prior_entropy: 1.7146, recall: 0.9172, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9146, kappa: 0.8708, kb_relative_information_score: 0.8791, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9147, predictive_accuracy: 0.9148, prior_entropy: 1.7146, recall: 0.9148, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8892, kappa: 0.8327, kb_relative_information_score: 0.8438, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8892, predictive_accuracy: 0.8897, prior_entropy: 1.7146, recall: 0.8897, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9103, kappa: 0.8646, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9105, predictive_accuracy: 0.9106, prior_entropy: 1.7146, recall: 0.9106, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.9142, kappa: 0.8703, kb_relative_information_score: 0.8786, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9144, predictive_accuracy: 0.9144, prior_entropy: 1.7146, recall: 0.9144, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9137, kappa: 0.8695, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9138, predictive_accuracy: 0.9139, prior_entropy: 1.7146, recall: 0.9139, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8901, kappa: 0.8338, kb_relative_information_score: 0.8432, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8907, predictive_accuracy: 0.8908, prior_entropy: 1.7146, recall: 0.8908, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.891, kappa: 0.8351, kb_relative_information_score: 0.8448, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8915, predictive_accuracy: 0.8915, prior_entropy: 1.7146, recall: 0.8915, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.5724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9135, kappa: 0.8693, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9136, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8908, kappa: 0.8346, kb_relative_information_score: 0.8441, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8913, predictive_accuracy: 0.8913, prior_entropy: 1.7146, recall: 0.8913, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.912, kappa: 0.867, kb_relative_information_score: 0.876, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9122, predictive_accuracy: 0.9122, prior_entropy: 1.7146, recall: 0.9122, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.5149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.9115, kappa: 0.866, kb_relative_information_score: 0.8746, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9117, predictive_accuracy: 0.9117, prior_entropy: 1.7146, recall: 0.9117, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.5165,

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

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

OpenML APIs