Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 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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20384 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8904, kappa: 0.8341, kb_relative_information_score: 0.844, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8911, predictive_accuracy: 0.8909, prior_entropy: 1.7146, recall: 0.8909, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.5738,
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: 0.8524, f_measure: 0.7919, kappa: 0.6654, kb_relative_information_score: 0.6871, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8491, predictive_accuracy: 0.7648, prior_entropy: 1.7146, recall: 0.7648, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.892, kappa: 0.8365, kb_relative_information_score: 0.8473, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8924, predictive_accuracy: 0.8924, prior_entropy: 1.7146, recall: 0.8924, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.5699,
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: 0.9357, 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: 0.9332, 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: 0.9335, 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: 0.9323, f_measure: 0.9124, kappa: 0.8676, kb_relative_information_score: 0.8768, 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: 0.9329, 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: 0.9163, f_measure: 0.8916, kappa: 0.8362, kb_relative_information_score: 0.8472, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8917, predictive_accuracy: 0.892, prior_entropy: 1.7146, recall: 0.892, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, 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: 0.915, 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: 0.9352, f_measure: 0.9164, kappa: 0.8737, kb_relative_information_score: 0.8823, 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: 0.9339, f_measure: 0.9147, kappa: 0.8711, kb_relative_information_score: 0.8785, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.915, 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: 0.9337, f_measure: 0.9141, kappa: 0.8702, kb_relative_information_score: 0.8793, 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: 0.8775, f_measure: 0.8273, kappa: 0.731, kb_relative_information_score: 0.7514, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8537, predictive_accuracy: 0.8158, prior_entropy: 1.7146, recall: 0.8158, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.7458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9133, kappa: 0.8689, kb_relative_information_score: 0.877, 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: 0.9312, f_measure: 0.9106, kappa: 0.8649, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9106, predictive_accuracy: 0.9107, prior_entropy: 1.7146, recall: 0.9107, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.5191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8896, kappa: 0.8331, kb_relative_information_score: 0.8429, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8901, predictive_accuracy: 0.8902, prior_entropy: 1.7146, recall: 0.8902, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.5757,
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: 0.9155, f_measure: 0.8913, kappa: 0.8355, kb_relative_information_score: 0.8449, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8917, predictive_accuracy: 0.8919, prior_entropy: 1.7146, recall: 0.8919, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9104, kappa: 0.8644, kb_relative_information_score: 0.8733, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9106, 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: 0.9329, f_measure: 0.9133, kappa: 0.869, kb_relative_information_score: 0.878, 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: 0.9329, f_measure: 0.9135, kappa: 0.8692, kb_relative_information_score: 0.8781, 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: 0.9138, f_measure: 0.89, kappa: 0.8335, kb_relative_information_score: 0.8422, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.891, 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: 0.9122, f_measure: 0.8866, kappa: 0.8285, kb_relative_information_score: 0.8392, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8868, predictive_accuracy: 0.8871, prior_entropy: 1.7146, recall: 0.8871, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.9094, kappa: 0.863, kb_relative_information_score: 0.8718, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9096, predictive_accuracy: 0.9096, prior_entropy: 1.7146, recall: 0.9096, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.5223,
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: 0.9162, f_measure: 0.892, kappa: 0.8368, kb_relative_information_score: 0.8466, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8924, 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: 0.9311, f_measure: 0.9112, kappa: 0.8657, kb_relative_information_score: 0.8733, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9115, 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: 0.9151, f_measure: 0.8912, kappa: 0.8353, kb_relative_information_score: 0.8434, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.892, predictive_accuracy: 0.8919, prior_entropy: 1.7146, recall: 0.8919, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8654, kappa: 0.7969, kb_relative_information_score: 0.8153, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8711, predictive_accuracy: 0.8635, prior_entropy: 1.7146, recall: 0.8635, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.6421,
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: 0.9334, f_measure: 0.9137, kappa: 0.8696, kb_relative_information_score: 0.8787, 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: 0.9331, 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: 0.8732, f_measure: 0.8223, kappa: 0.7208, kb_relative_information_score: 0.7392, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8548, predictive_accuracy: 0.8088, prior_entropy: 1.7146, recall: 0.8088, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.7597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9135, kappa: 0.8693, kb_relative_information_score: 0.8785, 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: 0.9344, f_measure: 0.9146, kappa: 0.871, kb_relative_information_score: 0.8803, 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: 0.9325, f_measure: 0.9128, kappa: 0.8681, kb_relative_information_score: 0.8777, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9128, 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: 0.9105, kappa: 0.8647, kb_relative_information_score: 0.8736, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9107, predictive_accuracy: 0.9107, prior_entropy: 1.7146, recall: 0.9107, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.5191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8902, kappa: 0.834, kb_relative_information_score: 0.844, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8905, 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: 0.9134, f_measure: 0.8892, kappa: 0.8323, kb_relative_information_score: 0.8421, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8899, predictive_accuracy: 0.8898, prior_entropy: 1.7146, recall: 0.8898, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5767,
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: 0.9342, 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: 0.9337, 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: 0.9329, 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: 0.9349, 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: 0.9334, 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: 0.8859, 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: 0.9115, 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: 0.9337, 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: 0.8964, 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: 0.879, 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: 0.9318, 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: 0.9352, 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: 0.9322, 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: 0.9341, 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: 0.9339, 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: 0.8846, 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: 0.9312, 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: 0.9339, 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: 0.934, 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: 0.9343, 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: 0.9156, f_measure: 0.8921, kappa: 0.8366, kb_relative_information_score: 0.8467, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8927, 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: 0.9163, f_measure: 0.8916, kappa: 0.8362, kb_relative_information_score: 0.8472, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8917, predictive_accuracy: 0.892, prior_entropy: 1.7146, recall: 0.892, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9116, kappa: 0.8664, kb_relative_information_score: 0.8747, 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: 0.9332, f_measure: 0.9133, kappa: 0.869, kb_relative_information_score: 0.878, 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: 0.9148, f_measure: 0.8902, kappa: 0.834, kb_relative_information_score: 0.8436, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8905, 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: 0.8906, f_measure: 0.8467, kappa: 0.7661, kb_relative_information_score: 0.7873, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8605, predictive_accuracy: 0.8415, prior_entropy: 1.7146, recall: 0.8415, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9137, kappa: 0.8695, kb_relative_information_score: 0.8785, 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: 0.9341, f_measure: 0.9146, kappa: 0.8709, kb_relative_information_score: 0.8795, 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: 0.9144, f_measure: 0.8903, kappa: 0.834, kb_relative_information_score: 0.8436, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8909, predictive_accuracy: 0.8909, prior_entropy: 1.7146, recall: 0.8909, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9137, kappa: 0.8697, kb_relative_information_score: 0.8788, 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: 0.9322, 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: 0.9328, f_measure: 0.9135, kappa: 0.8691, kb_relative_information_score: 0.877, 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: 0.9348, f_measure: 0.9153, kappa: 0.8721, kb_relative_information_score: 0.8809, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9154, predictive_accuracy: 0.9155, prior_entropy: 1.7146, recall: 0.9155, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7919, kappa: 0.6654, kb_relative_information_score: 0.6871, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8491, predictive_accuracy: 0.7648, prior_entropy: 1.7146, recall: 0.7648, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.9094, kappa: 0.863, kb_relative_information_score: 0.8718, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9096, predictive_accuracy: 0.9096, prior_entropy: 1.7146, recall: 0.9096, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.5223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8905, kappa: 0.8343, kb_relative_information_score: 0.8433, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8912, 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: 0.8745, f_measure: 0.8224, kappa: 0.7217, kb_relative_information_score: 0.7433, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8546, predictive_accuracy: 0.8085, prior_entropy: 1.7146, recall: 0.8085, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.7605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.9093, kappa: 0.8629, kb_relative_information_score: 0.8719, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9094, predictive_accuracy: 0.9095, prior_entropy: 1.7146, recall: 0.9095, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8929, kappa: 0.838, kb_relative_information_score: 0.8475, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8934, predictive_accuracy: 0.8935, prior_entropy: 1.7146, recall: 0.8935, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8239, kappa: 0.7239, kb_relative_information_score: 0.7436, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8548, predictive_accuracy: 0.8105, prior_entropy: 1.7146, recall: 0.8105, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9145, kappa: 0.8709, kb_relative_information_score: 0.8793, 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: 0.9352, 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: 0.9349, f_measure: 0.9155, kappa: 0.8723, kb_relative_information_score: 0.8802, 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: 0.9137, f_measure: 0.8893, kappa: 0.8324, kb_relative_information_score: 0.8424, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8898, predictive_accuracy: 0.8898, prior_entropy: 1.7146, recall: 0.8898, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8215, kappa: 0.7194, kb_relative_information_score: 0.7378, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8537, predictive_accuracy: 0.8076, prior_entropy: 1.7146, recall: 0.8076, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8497, kappa: 0.7709, kb_relative_information_score: 0.7911, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8629, predictive_accuracy: 0.8446, prior_entropy: 1.7146, recall: 0.8446, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8911, kappa: 0.8353, kb_relative_information_score: 0.8448, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8915, predictive_accuracy: 0.8917, prior_entropy: 1.7146, recall: 0.8917, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.893, kappa: 0.8378, kb_relative_information_score: 0.846, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8938, predictive_accuracy: 0.8935, prior_entropy: 1.7146, recall: 0.8935, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.567,
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: 0.9141, kappa: 0.8702, kb_relative_information_score: 0.8793, 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: 0.9158, f_measure: 0.892, kappa: 0.8365, kb_relative_information_score: 0.8473, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8924, predictive_accuracy: 0.8924, prior_entropy: 1.7146, recall: 0.8924, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.5699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, 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: 0.9126, f_measure: 0.888, kappa: 0.8304, kb_relative_information_score: 0.84, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8886, predictive_accuracy: 0.8886, prior_entropy: 1.7146, recall: 0.8886, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5801,

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