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: 0.9334, f_measure: 0.914, kappa: 0.8701, kb_relative_information_score: 0.879, 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: 0.9306, f_measure: 0.9103, kappa: 0.8644, kb_relative_information_score: 0.8735, 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: 0.8969, f_measure: 0.8591, kappa: 0.7867, kb_relative_information_score: 0.8006, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8655, predictive_accuracy: 0.8576, prior_entropy: 1.7146, recall: 0.8576, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.6557,
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: 0.9315, f_measure: 0.9109, kappa: 0.8655, kb_relative_information_score: 0.8754, 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: 0.9348, f_measure: 0.9157, kappa: 0.8726, kb_relative_information_score: 0.881, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9159, predictive_accuracy: 0.9159, prior_entropy: 1.7146, recall: 0.9159, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.9168, kappa: 0.8742, 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: 0.8817, f_measure: 0.833, kappa: 0.7407, kb_relative_information_score: 0.7608, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8572, predictive_accuracy: 0.8228, prior_entropy: 1.7146, recall: 0.8228, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.7315,
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: 0.9152, 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: 0.9137, 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: 0.9147, 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: 0.9332, 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: 0.9144, 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: 0.9307, 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: 0.9148, 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: 0.9337, 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: 0.9357, 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: 0.9342, 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: 0.9353, 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: 0.8063, 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: 0.8888, 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: 0.9343, 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: 0.9318, 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: 0.9331, 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: 0.9332, f_measure: 0.9131, kappa: 0.8688, kb_relative_information_score: 0.8779, 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: 0.9349, f_measure: 0.9158, kappa: 0.8728, kb_relative_information_score: 0.8811, 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: 0.9345, f_measure: 0.915, kappa: 0.8716, kb_relative_information_score: 0.8808, 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: 0.9304, f_measure: 0.9093, kappa: 0.863, kb_relative_information_score: 0.872, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9093, 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: 0.8868, 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: 0.9035, 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: 0.9138, 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: 0.9318, f_measure: 0.9119, kappa: 0.8667, kb_relative_information_score: 0.8751, 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: 0.9068, f_measure: 0.8749, kappa: 0.8116, kb_relative_information_score: 0.8253, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8765, predictive_accuracy: 0.875, prior_entropy: 1.7146, recall: 0.875, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.25, root_relative_squared_error: 0.6143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9157, kappa: 0.8727, kb_relative_information_score: 0.8826, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9158, predictive_accuracy: 0.9159, prior_entropy: 1.7146, recall: 0.9159, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8184, kappa: 0.7149, kb_relative_information_score: 0.7338, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.851, predictive_accuracy: 0.8039, prior_entropy: 1.7146, recall: 0.8039, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.7695,
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: 0.909, f_measure: 0.8787, kappa: 0.8175, kb_relative_information_score: 0.8311, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8788, predictive_accuracy: 0.879, prior_entropy: 1.7146, recall: 0.879, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.6043,
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: 0.9352, 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: 0.8496, f_measure: 0.7884, kappa: 0.6591, kb_relative_information_score: 0.6772, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8436, predictive_accuracy: 0.7606, prior_entropy: 1.7146, recall: 0.7606, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.346, root_relative_squared_error: 0.8501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.9073, kappa: 0.8598, kb_relative_information_score: 0.8699, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9074, predictive_accuracy: 0.9074, prior_entropy: 1.7146, recall: 0.9074, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9092, kappa: 0.8628, kb_relative_information_score: 0.872, 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: 0.9311, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9135, kappa: 0.8691, kb_relative_information_score: 0.8773, 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: 0.8955, f_measure: 0.8552, kappa: 0.7737, kb_relative_information_score: 0.7857, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8727, predictive_accuracy: 0.8471, prior_entropy: 1.7146, recall: 0.8471, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.6794,
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: 0.9323, 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: 0.9325, 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: 0.9177, 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: 0.9148, 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: 0.9161, 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: 0.9131, 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: 0.9338, 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: 0.9326, f_measure: 0.913, kappa: 0.8685, kb_relative_information_score: 0.8779, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9132, predictive_accuracy: 0.9131, prior_entropy: 1.7146, recall: 0.9131, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.5122,
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: 0.9154, 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: 0.916, 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: 0.9338, 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: 0.9313, 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: 0.9318, 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: 0.9129, f_measure: 0.7093, kappa: 0.5612, kb_relative_information_score: 2223.0488, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8021, predictive_accuracy: 0.7163, prior_entropy: 1.7151, recall: 0.7163, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7144, kappa: 0.5698, kb_relative_information_score: 2762.0571, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7194, predictive_accuracy: 0.7196, prior_entropy: 1.7151, recall: 0.7196, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9238, kappa: 0.8848, kb_relative_information_score: 4616.1591, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9239, predictive_accuracy: 0.9239, prior_entropy: 1.7151, recall: 0.9239, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7146, recall: 0.9956, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9806, kappa: 0.9707, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 1.7146, recall: 0.9806, relative_absolute_error: 0.0299, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9896, kappa: 0.9842, kb_relative_information_score: 0.9856, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.7146, recall: 0.9896, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.1513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9494, kappa: 0.9239, kb_relative_information_score: 0.9074, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 1.7146, recall: 0.9494, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.3379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 0.9939, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7146, recall: 0.9958, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.1072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9679, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 1.7146, recall: 0.9787, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.2091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7146, recall: 0.9958, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 0.9948, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7146, recall: 0.9978, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0336, root_relative_squared_error: 0.0824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7146, recall: 0.9971, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 0.9882, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7146, recall: 0.9956, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 0.9966, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7146, recall: 0.9978, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0318, root_relative_squared_error: 0.0781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 0.9961, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7146, recall: 0.9976, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0285, root_relative_squared_error: 0.0701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7146, recall: 0.9967, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.0931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8877, kappa: 0.8304, kb_relative_information_score: 0.8441, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8879, predictive_accuracy: 0.8876, prior_entropy: 1.7146, recall: 0.8876, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7146, recall: 0.9974, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 0.996, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7146, recall: 0.9974, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0329, root_relative_squared_error: 0.0807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 0.9905, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7146, recall: 0.9954, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9918, kappa: 0.9875, kb_relative_information_score: 0.9875, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 1.7146, recall: 0.9918, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9504, kappa: 0.9252, kb_relative_information_score: 0.9149, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9505, predictive_accuracy: 0.9503, prior_entropy: 1.7146, recall: 0.9503, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9733, kappa: 0.9596, kb_relative_information_score: 0.9624, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 1.7146, recall: 0.9732, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.2717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9879, kappa: 0.9817, kb_relative_information_score: 0.9826, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 1.7146, recall: 0.9879, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.1816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 0.0866, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3622, prior_entropy: 1.7146, recall: 0.3622, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.3877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9786, kappa: 0.9676, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 1.7146, recall: 0.9786, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 0.9722, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7146, recall: 0.9914, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.1412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9885, kappa: 0.9826, kb_relative_information_score: 0.9822, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 1.7146, recall: 0.9885, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.1735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9129, kappa: 0.8684, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9131, predictive_accuracy: 0.9131, prior_entropy: 1.7146, recall: 0.9131, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.5122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7862, kappa: 0.6429, kb_relative_information_score: 0.6623, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8734, predictive_accuracy: 0.7436, prior_entropy: 1.7146, recall: 0.7436, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.8799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9823, kb_relative_information_score: 0.9816, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 1.7146, recall: 0.9883, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9897, kappa: 0.9845, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 1.7146, recall: 0.9897, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.1394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9066, kappa: 0.8595, kb_relative_information_score: 0.8475, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9069, predictive_accuracy: 0.9073, prior_entropy: 1.7146, recall: 0.9073, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9711, kappa: 0.9563, kb_relative_information_score: 0.9592, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9711, predictive_accuracy: 0.971, prior_entropy: 1.7146, recall: 0.971, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.2775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9868, kappa: 0.9801, kb_relative_information_score: 0.9815, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 1.7146, recall: 0.9868, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.1869,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs