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: 0.9084, f_measure: 0.8752, kappa: 0.8131, kb_relative_information_score: 0.8302, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8763, predictive_accuracy: 0.8754, prior_entropy: 1.7146, recall: 0.8754, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8783, kappa: 0.8168, kb_relative_information_score: 0.8293, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8788, predictive_accuracy: 0.8787, prior_entropy: 1.7146, recall: 0.8787, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.6053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9137, kappa: 0.8697, kb_relative_information_score: 0.879, 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: 0.9152, f_measure: 0.8916, kappa: 0.8359, kb_relative_information_score: 0.845, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8924, predictive_accuracy: 0.8922, prior_entropy: 1.7146, recall: 0.8922, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9116, kappa: 0.8665, kb_relative_information_score: 0.876, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9117, 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: 0.9326, f_measure: 0.9129, kappa: 0.8684, kb_relative_information_score: 0.8773, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.913, 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: 0.9032, f_measure: 0.8672, kappa: 0.8004, kb_relative_information_score: 0.8178, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8692, predictive_accuracy: 0.8666, prior_entropy: 1.7146, recall: 0.8666, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.6347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9139, kappa: 0.8698, kb_relative_information_score: 0.8792, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9141, 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: 0.9326, 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: 0.9149, f_measure: 0.8902, kappa: 0.834, kb_relative_information_score: 0.844, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8905, predictive_accuracy: 0.8908, prior_entropy: 1.7146, recall: 0.8908, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9118, kappa: 0.8666, kb_relative_information_score: 0.8746, 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: 0.9314, f_measure: 0.9113, kappa: 0.8659, kb_relative_information_score: 0.8753, 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: 0.9318, f_measure: 0.9117, kappa: 0.8665, kb_relative_information_score: 0.8763, 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: 0.9141, f_measure: 0.8902, kappa: 0.8337, kb_relative_information_score: 0.8428, 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: 0.9144, 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: 0.9323, f_measure: 0.9123, kappa: 0.8674, kb_relative_information_score: 0.8769, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9124, 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: 0.9126, f_measure: 0.8882, kappa: 0.8308, kb_relative_information_score: 0.8398, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8891, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9159, kappa: 0.8728, kb_relative_information_score: 0.8807, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.916, predictive_accuracy: 0.9161, prior_entropy: 1.7146, recall: 0.9161, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9135, kappa: 0.8693, kb_relative_information_score: 0.8784, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9136, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8905, kappa: 0.8343, kb_relative_information_score: 0.8428, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8911, predictive_accuracy: 0.8911, prior_entropy: 1.7146, recall: 0.8911, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9113, kappa: 0.8657, kb_relative_information_score: 0.8739, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9116, predictive_accuracy: 0.9115, prior_entropy: 1.7146, recall: 0.9115, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9127, kappa: 0.8681, kb_relative_information_score: 0.8762, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9129, predictive_accuracy: 0.9129, prior_entropy: 1.7146, recall: 0.9129, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9141, kappa: 0.8702, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9142, predictive_accuracy: 0.9142, prior_entropy: 1.7146, recall: 0.9142, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8879, kappa: 0.831, kb_relative_information_score: 0.8432, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.888, predictive_accuracy: 0.8884, prior_entropy: 1.7146, recall: 0.8884, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9172, kappa: 0.8748, kb_relative_information_score: 0.8831, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9173, predictive_accuracy: 0.9173, prior_entropy: 1.7146, recall: 0.9173, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8407, kappa: 0.7544, kb_relative_information_score: 0.7749, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8594, predictive_accuracy: 0.8332, prior_entropy: 1.7146, recall: 0.8332, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, 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: 0.9337, 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: 0.8868, 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: 0.9138, f_measure: 0.8883, kappa: 0.8313, kb_relative_information_score: 0.8419, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8885, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9168, kappa: 0.8743, kb_relative_information_score: 0.8829, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9169, predictive_accuracy: 0.917, prior_entropy: 1.7146, recall: 0.917, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.9127, kappa: 0.868, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9129, predictive_accuracy: 0.9129, prior_entropy: 1.7146, recall: 0.9129, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8921, kappa: 0.8367, kb_relative_information_score: 0.8463, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8926, predictive_accuracy: 0.8926, prior_entropy: 1.7146, recall: 0.8926, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8883, kappa: 0.8313, kb_relative_information_score: 0.8419, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8885, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8886, kappa: 0.8316, kb_relative_information_score: 0.8435, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8887, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9147, kappa: 0.8711, kb_relative_information_score: 0.8789, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9149, predictive_accuracy: 0.915, prior_entropy: 1.7146, recall: 0.915, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, 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: 0.9331, f_measure: 0.914, kappa: 0.8699, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9143, predictive_accuracy: 0.9142, prior_entropy: 1.7146, recall: 0.9142, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, 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: 0.9323, 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: 0.9315, f_measure: 0.9119, kappa: 0.8666, kb_relative_information_score: 0.875, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9121, predictive_accuracy: 0.912, prior_entropy: 1.7146, recall: 0.912, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, 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: 0.9352, f_measure: 0.916, kappa: 0.8732, kb_relative_information_score: 0.8817, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9162, predictive_accuracy: 0.9162, prior_entropy: 1.7146, recall: 0.9162, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.5029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, 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: 0.9319, 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: 0.8967, f_measure: 0.8567, kappa: 0.781, kb_relative_information_score: 0.7992, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8683, predictive_accuracy: 0.8525, prior_entropy: 1.7146, recall: 0.8525, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8882, kappa: 0.8308, kb_relative_information_score: 0.8398, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8891, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9113, kappa: 0.8659, kb_relative_information_score: 0.8753, 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: 0.8433, f_measure: 0.7775, kappa: 0.643, kb_relative_information_score: 0.6663, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.844, predictive_accuracy: 0.7465, prior_entropy: 1.7146, recall: 0.7465, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.356, root_relative_squared_error: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.89, kappa: 0.8336, kb_relative_information_score: 0.8434, 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: 0.9317, f_measure: 0.9119, kappa: 0.8667, kb_relative_information_score: 0.8764, 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: 0.9342, 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: 0.9318, f_measure: 0.912, kappa: 0.8669, kb_relative_information_score: 0.8751, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9121, 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: 0.9321, f_measure: 0.9124, kappa: 0.8675, kb_relative_information_score: 0.8763, 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: 0.9159, f_measure: 0.8921, kappa: 0.8367, kb_relative_information_score: 0.8447, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8928, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9135, kappa: 0.8691, kb_relative_information_score: 0.877, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9137, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7992, kappa: 0.6874, kb_relative_information_score: 0.7099, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8305, predictive_accuracy: 0.7843, prior_entropy: 1.7146, recall: 0.7843, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.8071,
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: 0.934, f_measure: 0.9146, kappa: 0.8709, kb_relative_information_score: 0.8794, 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: 0.9342, f_measure: 0.9145, kappa: 0.8708, kb_relative_information_score: 0.8799, 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: 0.9341, f_measure: 0.9144, kappa: 0.8707, kb_relative_information_score: 0.8798, 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: 0.9331, f_measure: 0.9132, kappa: 0.8688, kb_relative_information_score: 0.8785, 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: 0.9316, 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: 0.892, f_measure: 0.8473, kappa: 0.7561, kb_relative_information_score: 0.7743, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8801, predictive_accuracy: 0.8325, prior_entropy: 1.7146, recall: 0.8325, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8908, kappa: 0.8347, kb_relative_information_score: 0.844, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8912, 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: 0.9344, f_measure: 0.9146, kappa: 0.871, kb_relative_information_score: 0.8799, 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: 0.9351, f_measure: 0.9164, kappa: 0.8736, kb_relative_information_score: 0.8818, 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: 0.8901, f_measure: 0.844, kappa: 0.7503, kb_relative_information_score: 0.7694, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8793, predictive_accuracy: 0.8279, prior_entropy: 1.7146, recall: 0.8279, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.7209,
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: 0.9318, f_measure: 0.912, kappa: 0.8669, kb_relative_information_score: 0.8753, 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: 0.9323, f_measure: 0.9128, kappa: 0.8681, kb_relative_information_score: 0.8772, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9129, predictive_accuracy: 0.9129, prior_entropy: 1.7146, recall: 0.9129, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.891, kappa: 0.835, kb_relative_information_score: 0.8432, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8918, predictive_accuracy: 0.8917, prior_entropy: 1.7146, recall: 0.8917, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, 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: 0.9057, f_measure: 0.8713, kappa: 0.8057, kb_relative_information_score: 0.8206, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8745, predictive_accuracy: 0.8704, prior_entropy: 1.7146, recall: 0.8704, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9118, kappa: 0.8666, 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: 0.8955, 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: 0.8951, f_measure: 0.8527, kappa: 0.7773, kb_relative_information_score: 0.7982, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8623, predictive_accuracy: 0.8495, prior_entropy: 1.7146, recall: 0.8495, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9161, kappa: 0.8732, kb_relative_information_score: 0.8816, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9162, predictive_accuracy: 0.9162, prior_entropy: 1.7146, recall: 0.9162, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.5029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9142, kappa: 0.8703, kb_relative_information_score: 0.8785, 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: 0.9326, 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: 0.9316, f_measure: 0.9118, kappa: 0.8666, kb_relative_information_score: 0.875, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.912, 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: 0.9118, f_measure: 0.886, kappa: 0.8277, kb_relative_information_score: 0.8389, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8863, predictive_accuracy: 0.8865, prior_entropy: 1.7146, recall: 0.8865, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, 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: 0.9136, f_measure: 0.8872, kappa: 0.8296, kb_relative_information_score: 0.8423, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8871, predictive_accuracy: 0.8875, prior_entropy: 1.7146, recall: 0.8875, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9144, kappa: 0.8707, kb_relative_information_score: 0.8792, 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: 0.9274, f_measure: 0.9058, kappa: 0.8577, kb_relative_information_score: 0.869, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9059, predictive_accuracy: 0.906, prior_entropy: 1.7146, recall: 0.906, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.5328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9151, kappa: 0.8716, kb_relative_information_score: 0.8792, 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: 0.9331, 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: 0.9004, f_measure: 0.861, kappa: 0.7897, kb_relative_information_score: 0.8083, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8687, predictive_accuracy: 0.8585, prior_entropy: 1.7146, recall: 0.8585, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.266, root_relative_squared_error: 0.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9155, kappa: 0.8723, kb_relative_information_score: 0.8801, 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: 0.915, f_measure: 0.8899, kappa: 0.8337, kb_relative_information_score: 0.8449, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8901, predictive_accuracy: 0.8904, prior_entropy: 1.7146, recall: 0.8904, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8887, kappa: 0.8316, kb_relative_information_score: 0.8413, 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: 0.9144, 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: 0.9155, f_measure: 0.8912, kappa: 0.8356, kb_relative_information_score: 0.8451, 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: 0.9334, f_measure: 0.914, kappa: 0.87, kb_relative_information_score: 0.8776, 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: 0.8704, f_measure: 0.8153, kappa: 0.7089, kb_relative_information_score: 0.7339, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.855, predictive_accuracy: 0.7975, prior_entropy: 1.7146, recall: 0.7975, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9121, kappa: 0.8672, kb_relative_information_score: 0.8758, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9124, 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: 0.8843, f_measure: 0.8358, kappa: 0.7459, kb_relative_information_score: 0.7657, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8586, predictive_accuracy: 0.8264, prior_entropy: 1.7146, recall: 0.8264, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.7239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9136, kappa: 0.8695, kb_relative_information_score: 0.8782, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9138, predictive_accuracy: 0.9139, prior_entropy: 1.7146, recall: 0.9139, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9115, kappa: 0.8662, kb_relative_information_score: 0.876, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9116, predictive_accuracy: 0.9117, prior_entropy: 1.7146, recall: 0.9117, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.5165,

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