OpenML
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: 0.9331, f_measure: 0.9135, kappa: 0.8692, kb_relative_information_score: 0.8776, 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: 0.9144, f_measure: 0.8903, kappa: 0.834, kb_relative_information_score: 0.8429, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.891, 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: 0.8964, f_measure: 0.8556, kappa: 0.782, kb_relative_information_score: 0.8021, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8631, predictive_accuracy: 0.8532, prior_entropy: 1.7146, recall: 0.8532, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9131, kappa: 0.8686, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9132, 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: 0.913, f_measure: 0.8881, kappa: 0.8307, kb_relative_information_score: 0.8403, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8886, predictive_accuracy: 0.8887, prior_entropy: 1.7146, recall: 0.8887, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7956, kappa: 0.6777, kb_relative_information_score: 0.704, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.846, predictive_accuracy: 0.7731, prior_entropy: 1.7146, recall: 0.7731, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8328, kappa: 0.738, kb_relative_information_score: 0.7576, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8613, predictive_accuracy: 0.8206, prior_entropy: 1.7146, recall: 0.8206, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9135, kappa: 0.8693, kb_relative_information_score: 0.8782, 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: 0.8863, f_measure: 0.8405, kappa: 0.753, kb_relative_information_score: 0.7726, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8612, 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: 0.9108, f_measure: 0.8816, kappa: 0.8218, kb_relative_information_score: 0.8352, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8816, predictive_accuracy: 0.882, prior_entropy: 1.7146, recall: 0.882, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9142, kappa: 0.8704, kb_relative_information_score: 0.8792, 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: 0.8389, f_measure: 0.7733, kappa: 0.6315, kb_relative_information_score: 0.6519, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.848, predictive_accuracy: 0.7381, prior_entropy: 1.7146, recall: 0.7381, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.8893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.726, kappa: 0.5543, kb_relative_information_score: 0.5706, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8392, predictive_accuracy: 0.6727, prior_entropy: 1.7146, recall: 0.6727, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9159, kappa: 0.8728, kb_relative_information_score: 0.8807, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9161, 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: 0.9028, f_measure: 0.8666, kappa: 0.7987, kb_relative_information_score: 0.8152, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8706, predictive_accuracy: 0.8653, prior_entropy: 1.7146, recall: 0.8653, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.6378,
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: 0.9294, f_measure: 0.9085, kappa: 0.8617, kb_relative_information_score: 0.871, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9086, predictive_accuracy: 0.9087, prior_entropy: 1.7146, recall: 0.9087, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.525,
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: 0.9144, 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: 0.9311, 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: 0.9307, 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: 0.9326, 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: 0.8421, f_measure: 0.7787, kappa: 0.6419, kb_relative_information_score: 0.661, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8429, predictive_accuracy: 0.7473, prior_entropy: 1.7146, recall: 0.7473, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.8736,
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: 0.8525, f_measure: 0.7921, kappa: 0.6638, kb_relative_information_score: 0.6854, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8525, predictive_accuracy: 0.763, prior_entropy: 1.7146, recall: 0.763, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.8459,
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: 0.9134, f_measure: 0.8885, kappa: 0.8313, kb_relative_information_score: 0.8422, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8887, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8924, kappa: 0.8372, kb_relative_information_score: 0.8472, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8929, predictive_accuracy: 0.893, prior_entropy: 1.7146, recall: 0.893, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.9113, kappa: 0.8661, kb_relative_information_score: 0.8758, 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: 0.916, 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: 0.9342, f_measure: 0.915, kappa: 0.8715, kb_relative_information_score: 0.8804, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9152, predictive_accuracy: 0.9151, prior_entropy: 1.7146, recall: 0.9151, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.206, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8856, kappa: 0.8278, kb_relative_information_score: 0.8411, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8857, predictive_accuracy: 0.8858, prior_entropy: 1.7146, recall: 0.8858, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9155, kappa: 0.8724, kb_relative_information_score: 0.8808, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9157, 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: 0.9127, f_measure: 0.8886, kappa: 0.8313, kb_relative_information_score: 0.84, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8896, predictive_accuracy: 0.8893, prior_entropy: 1.7146, recall: 0.8893, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8472, kappa: 0.7552, kb_relative_information_score: 0.7735, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8815, predictive_accuracy: 0.8316, prior_entropy: 1.7146, recall: 0.8316, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.7131,
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: 0.915, f_measure: 0.891, kappa: 0.835, kb_relative_information_score: 0.8449, 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: 0.9342, f_measure: 0.9148, kappa: 0.8712, kb_relative_information_score: 0.8795, 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: 0.8806, f_measure: 0.8283, kappa: 0.736, kb_relative_information_score: 0.7615, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8538, predictive_accuracy: 0.8182, prior_entropy: 1.7146, recall: 0.8182, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9145, kappa: 0.8708, kb_relative_information_score: 0.8793, 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: 0.8509, f_measure: 0.7915, kappa: 0.6534, kb_relative_information_score: 0.6738, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8701, predictive_accuracy: 0.7529, prior_entropy: 1.7146, recall: 0.7529, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9144, kappa: 0.8706, kb_relative_information_score: 0.8785, 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: 0.9345, 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: 0.9337, 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: 0.8723, f_measure: 0.8194, kappa: 0.7185, kb_relative_information_score: 0.7377, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8484, predictive_accuracy: 0.807, prior_entropy: 1.7146, recall: 0.807, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.7634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9124, kappa: 0.8676, kb_relative_information_score: 0.8769, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9125, predictive_accuracy: 0.9126, prior_entropy: 1.7146, recall: 0.9126, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.7875, kappa: 0.6568, kb_relative_information_score: 0.6795, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8513, predictive_accuracy: 0.7573, prior_entropy: 1.7146, recall: 0.7573, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7259, kappa: 0.5593, kb_relative_information_score: 0.5808, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8428, predictive_accuracy: 0.6743, prior_entropy: 1.7146, recall: 0.6743, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8901, kappa: 0.8337, kb_relative_information_score: 0.8432, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8908, 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: 0.9297, f_measure: 0.9094, kappa: 0.8629, kb_relative_information_score: 0.8708, 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: 0.9332, 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: 0.9326, f_measure: 0.9131, kappa: 0.8686, kb_relative_information_score: 0.8773, 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: 0.9314, f_measure: 0.9114, kappa: 0.8662, kb_relative_information_score: 0.8754, 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: 0.9335, f_measure: 0.9139, kappa: 0.8698, kb_relative_information_score: 0.8785, 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: 0.9343, f_measure: 0.9153, kappa: 0.872, kb_relative_information_score: 0.8801, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9155, 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: 0.9328, 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: 0.9334, f_measure: 0.9139, kappa: 0.8698, kb_relative_information_score: 0.8789, 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: 0.9296, 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: 0.8652, f_measure: 0.8094, kappa: 0.7023, kb_relative_information_score: 0.721, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8398, predictive_accuracy: 0.7947, prior_entropy: 1.7146, recall: 0.7947, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.7873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8929, kappa: 0.838, kb_relative_information_score: 0.8466, 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: 0.9347, f_measure: 0.9155, kappa: 0.8723, kb_relative_information_score: 0.8803, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9157, 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: 0.9336, f_measure: 0.9142, kappa: 0.8704, kb_relative_information_score: 0.8793, 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: 0.932, f_measure: 0.9118, kappa: 0.8668, kb_relative_information_score: 0.8753, 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: 0.9341, f_measure: 0.915, kappa: 0.8715, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9152, predictive_accuracy: 0.9151, prior_entropy: 1.7146, recall: 0.9151, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.206, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, 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: 0.9334, f_measure: 0.9137, kappa: 0.8696, 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: 0.8984, f_measure: 0.8554, kappa: 0.7837, kb_relative_information_score: 0.8054, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8647, predictive_accuracy: 0.8537, prior_entropy: 1.7146, recall: 0.8537, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.6645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.915, 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: 0.9152, predictive_accuracy: 0.9151, prior_entropy: 1.7146, recall: 0.9151, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.206, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.9066, kappa: 0.8589, kb_relative_information_score: 0.8677, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9069, predictive_accuracy: 0.9069, prior_entropy: 1.7146, recall: 0.9069, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.9144, kappa: 0.8705, 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: 0.9343, 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: 0.8586, f_measure: 0.8001, kappa: 0.6826, kb_relative_information_score: 0.7073, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8476, predictive_accuracy: 0.7779, prior_entropy: 1.7146, recall: 0.7779, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.89, kappa: 0.8336, kb_relative_information_score: 0.8432, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8905, predictive_accuracy: 0.8906, prior_entropy: 1.7146, recall: 0.8906, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8142, kappa: 0.7083, kb_relative_information_score: 0.7294, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8497, predictive_accuracy: 0.7982, prior_entropy: 1.7146, recall: 0.7982, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8893, kappa: 0.8326, kb_relative_information_score: 0.8423, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8899, predictive_accuracy: 0.89, prior_entropy: 1.7146, recall: 0.89, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8884, kappa: 0.8316, kb_relative_information_score: 0.8426, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8884, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.9159, kappa: 0.8729, kb_relative_information_score: 0.8814, 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: 0.9333, f_measure: 0.9138, kappa: 0.8698, kb_relative_information_score: 0.8783, 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: 0.9146, f_measure: 0.89, kappa: 0.8337, kb_relative_information_score: 0.8435, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8904, predictive_accuracy: 0.8906, prior_entropy: 1.7146, recall: 0.8906, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.859, kappa: 0.7865, kb_relative_information_score: 0.8046, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8671, predictive_accuracy: 0.8565, prior_entropy: 1.7146, recall: 0.8565, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9131, kappa: 0.8687, kb_relative_information_score: 0.877, 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: 0.9142, f_measure: 0.8881, kappa: 0.8311, kb_relative_information_score: 0.8426, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8881, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.911, kappa: 0.8655, kb_relative_information_score: 0.8751, 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: 0.8899, f_measure: 0.8442, kappa: 0.7513, kb_relative_information_score: 0.7698, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8778, predictive_accuracy: 0.829, prior_entropy: 1.7146, recall: 0.829, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9134, kappa: 0.8691, kb_relative_information_score: 0.8768, 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: 0.8758, f_measure: 0.8244, kappa: 0.7262, kb_relative_information_score: 0.7473, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8545, predictive_accuracy: 0.812, prior_entropy: 1.7146, recall: 0.812, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.7535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8914, kappa: 0.8357, kb_relative_information_score: 0.8447, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.892, 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: 0.9319, f_measure: 0.9115, kappa: 0.8663, kb_relative_information_score: 0.8758, 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: 0.9336, f_measure: 0.9144, kappa: 0.8706, kb_relative_information_score: 0.8785, 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: 0.9143, f_measure: 0.8901, kappa: 0.8337, kb_relative_information_score: 0.843, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8908, 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: 0.9159, f_measure: 0.8914, kappa: 0.8358, kb_relative_information_score: 0.8461, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8916, 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: 0.9132, f_measure: 0.8886, kappa: 0.8315, kb_relative_information_score: 0.8414, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8892, predictive_accuracy: 0.8893, prior_entropy: 1.7146, recall: 0.8893, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8924, kappa: 0.8374, kb_relative_information_score: 0.8476, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8928, predictive_accuracy: 0.893, prior_entropy: 1.7146, recall: 0.893, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8808, kappa: 0.8169, kb_relative_information_score: 0.8341, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8915, predictive_accuracy: 0.8765, prior_entropy: 1.7146, recall: 0.8765, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.6107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9131, kappa: 0.8687, kb_relative_information_score: 0.8766, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9132, 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: 0.9335, f_measure: 0.9142, kappa: 0.8703, kb_relative_information_score: 0.8781, 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: 0.9087, f_measure: 0.8773, kappa: 0.8153, kb_relative_information_score: 0.8289, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.878, predictive_accuracy: 0.8774, prior_entropy: 1.7146, recall: 0.8774, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.6085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9137, kappa: 0.8694, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9139, 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: 0.9334, f_measure: 0.9139, kappa: 0.8698, kb_relative_information_score: 0.8783, 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: 0.9165, f_measure: 0.8923, kappa: 0.8371, kb_relative_information_score: 0.8465, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8926, predictive_accuracy: 0.8928, prior_entropy: 1.7146, recall: 0.8928, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.569,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs