Task
Supervised Classification on tamilnadu-electricity

Supervised Classification on tamilnadu-electricity

Task 9968 Supervised Classification tamilnadu-electricity 10356 runs submitted
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  • OpenML100 study_123 study_14 study_7 trivial
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10356 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9511, kappa: 0.946, kb_relative_information_score: 43505.4471, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.9576, predictive_accuracy: 0.949, prior_entropy: 4.2455, recall: 0.949, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.3286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.3996, kappa: 0.321, kb_relative_information_score: 15805.7391, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.6533, predictive_accuracy: 0.3593, prior_entropy: 4.2455, recall: 0.3593, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2531, root_relative_squared_error: 1.1645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, kappa: 0.2324, kb_relative_information_score: 11478.1322, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.2811, prior_entropy: 4.2455, recall: 0.2811, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2681, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9754, kappa: 0.9738, kb_relative_information_score: 44679.5433, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.9761, predictive_accuracy: 0.9753, prior_entropy: 4.2455, recall: 0.9753, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.2289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0135, kb_relative_information_score: 2462.6652, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0761, prior_entropy: 4.2455, recall: 0.0761, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0135, kb_relative_information_score: 2462.6652, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0761, prior_entropy: 4.2455, recall: 0.0761, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9925, kappa: 0.992, kb_relative_information_score: 45443.0047, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.9926, predictive_accuracy: 0.9924, prior_entropy: 4.2455, recall: 0.9924, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.0275, root_relative_squared_error: 0.1267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.3113, kappa: 0.2155, kb_relative_information_score: 11094.449, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.8071, predictive_accuracy: 0.2638, prior_entropy: 4.2455, recall: 0.2638, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2713, root_relative_squared_error: 1.2482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0135, kb_relative_information_score: 2462.6652, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0761, prior_entropy: 4.2455, recall: 0.0761, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0135, kb_relative_information_score: 2462.6652, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0761, prior_entropy: 4.2455, recall: 0.0761, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.5106, kappa: 0.4482, kb_relative_information_score: 21303.4179, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.6283, predictive_accuracy: 0.4779, prior_entropy: 4.2455, recall: 0.4779, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2285, root_relative_squared_error: 1.0512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.4737, kappa: 0.4011, kb_relative_information_score: 19377.4551, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.6297, predictive_accuracy: 0.4369, prior_entropy: 4.2455, recall: 0.4369, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2373, root_relative_squared_error: 1.0916,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0135, kb_relative_information_score: 2462.6652, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0761, prior_entropy: 4.2455, recall: 0.0761, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.3983,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0135, kb_relative_information_score: 2462.6652, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0761, prior_entropy: 4.2455, recall: 0.0761, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.3983,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.3918, kappa: 0.3066, kb_relative_information_score: 15223.5652, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.6598, predictive_accuracy: 0.3474, prior_entropy: 4.2455, recall: 0.3474, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2555, root_relative_squared_error: 1.1752,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.4661, kappa: 0.3929, kb_relative_information_score: 19031.5601, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.6478, predictive_accuracy: 0.4291, prior_entropy: 4.2455, recall: 0.4291, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2389, root_relative_squared_error: 1.0992,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0135, kb_relative_information_score: 2462.6652, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0761, prior_entropy: 4.2455, recall: 0.0761, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.3821, kappa: 0.2947, kb_relative_information_score: 14554.4679, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.6964, predictive_accuracy: 0.3328, prior_entropy: 4.2455, recall: 0.3328, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.1883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9983, kappa: 0.9982, kb_relative_information_score: 45707.1551, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 4.2455, recall: 0.9983, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.0129, root_relative_squared_error: 0.0593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6073, kappa: 0.5045, kb_relative_information_score: 23762.649, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.8692, predictive_accuracy: 0.5321, prior_entropy: 4.2455, recall: 0.5321, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6583, kappa: 0.5773, kb_relative_information_score: 27089.4246, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.8332, predictive_accuracy: 0.6017, prior_entropy: 4.2455, recall: 0.6017, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4817, kappa: -0.0366, kb_relative_information_score: 328.5218, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0275, prior_entropy: 4.2455, recall: 0.0275, relative_absolute_error: 1.0291, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3119, root_relative_squared_error: 1.4347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0135, kb_relative_information_score: 2462.6652, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0761, prior_entropy: 4.2455, recall: 0.0761, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0135, kb_relative_information_score: 2462.6652, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0761, prior_entropy: 4.2455, recall: 0.0761, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7972, kappa: 0.7529, kb_relative_information_score: 34957.9834, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.8715, predictive_accuracy: 0.7661, prior_entropy: 4.2455, recall: 0.7661, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.153, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9462, kappa: 0.9421, kb_relative_information_score: 43251.0869, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.9511, predictive_accuracy: 0.9453, prior_entropy: 4.2455, recall: 0.9453, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.074, root_relative_squared_error: 0.3404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5273, kappa: 0.0549, kb_relative_information_score: 4200.606, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.1107, prior_entropy: 4.2455, recall: 0.1107, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2982, root_relative_squared_error: 1.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, kappa: 0.1268, kb_relative_information_score: 7124.3566, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.1822, prior_entropy: 4.2455, recall: 0.1822, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.286, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0135, kb_relative_information_score: 2462.6652, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0761, prior_entropy: 4.2455, recall: 0.0761, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4754, kappa: -0.0491, kb_relative_information_score: -137.8403, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0169, prior_entropy: 4.2455, recall: 0.0169, relative_absolute_error: 1.0403, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.4424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.4697, kappa: 0.3947, kb_relative_information_score: 18951.7088, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 0.62, predictive_accuracy: 0.4256, prior_entropy: 4.2455, recall: 0.4256, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.2397, root_relative_squared_error: 1.1026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, kappa: 0.7379, kb_relative_information_score: 32354.7127, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.7545, prior_entropy: 4.2455, recall: 0.7545, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.7209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, kappa: 0.0059, kb_relative_information_score: 1825.4881, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, predictive_accuracy: 0.0615, prior_entropy: 4.2455, recall: 0.0615, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4093,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs