Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 102888 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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102888 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2063.0853, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.4345, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3501, root_relative_squared_error: 1.0693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.3124, kappa: 0.0026, kb_relative_information_score: -4885.8257, mean_absolute_error: 0.7257, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.79, predictive_accuracy: 0.2743, prior_entropy: 0.5368, recall: 0.2743, relative_absolute_error: 3.379, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.8519, root_relative_squared_error: 2.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 133.9941, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3298, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8604, kappa: 0.2638, kb_relative_information_score: 151.1105, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.858, predictive_accuracy: 0.8834, prior_entropy: 0.5368, recall: 0.8834, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 298.1559, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3402, root_relative_squared_error: 1.0391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.459, f_measure: 0.6354, kappa: -0.0416, kb_relative_information_score: -2393.0368, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7701, predictive_accuracy: 0.5597, prior_entropy: 0.5368, recall: 0.5597, relative_absolute_error: 2.0504, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.6636, root_relative_squared_error: 2.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8545, kappa: 0.2673, kb_relative_information_score: 246.136, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8467, predictive_accuracy: 0.8676, prior_entropy: 0.5368, recall: 0.8676, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -44.4187, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8598, kappa: 0.2739, kb_relative_information_score: 131.797, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8539, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.7372, kappa: 0.1257, kb_relative_information_score: -1352.3624, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.823, predictive_accuracy: 0.6879, prior_entropy: 0.5368, recall: 0.6879, relative_absolute_error: 1.4863, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.6673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, kb_relative_information_score: -76.899, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -241.8773, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0332, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 75.3118, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3282, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -189.9569, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0291, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 16.196, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -6.2366, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 27.3402, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.6935, kappa: 0.031, kb_relative_information_score: -1766.0015, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7956, predictive_accuracy: 0.6331, prior_entropy: 0.5368, recall: 0.6331, relative_absolute_error: 1.715, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.6045, root_relative_squared_error: 1.8464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 9.1384, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -93.8455, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 276.0836, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, kb_relative_information_score: -79.4823, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -11.8094, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -291.5125, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 188.5781, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3323, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -90.6117, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.3273, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -22.8286, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -62.7878, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 184.9259, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3324, root_relative_squared_error: 1.0152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -1.4451, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6216.1121, mean_absolute_error: 0.8779, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.1221, prior_entropy: 0.5368, recall: 0.1221, relative_absolute_error: 4.088, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.937, root_relative_squared_error: 2.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -94.6928, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 148.2895, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.6311, kappa: 0.0486, kb_relative_information_score: -2548.3279, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8071, predictive_accuracy: 0.5549, prior_entropy: 0.5368, recall: 0.5549, relative_absolute_error: 2.0978, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.6453, root_relative_squared_error: 1.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8778, kappa: 0.3971, kb_relative_information_score: 192.0776, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8733, predictive_accuracy: 0.8855, prior_entropy: 0.5368, recall: 0.8855, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.8437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8813, kappa: 0.3897, kb_relative_information_score: 109.1188, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8799, predictive_accuracy: 0.8957, prior_entropy: 0.5368, recall: 0.8957, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8826, kappa: 0.4095, kb_relative_information_score: 281.4081, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8789, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.8304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -29.7499, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -78.0622, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 120.4374, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3293, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -50.555, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: 16.9456, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.8884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.6768, kappa: 0.0433, kb_relative_information_score: -1955.0208, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8009, predictive_accuracy: 0.6104, prior_entropy: 0.5368, recall: 0.6104, relative_absolute_error: 1.8165, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.6223, root_relative_squared_error: 1.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -293.8652, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.045, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -128.7975, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -29.5929, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -5.3788, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -41.0377, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 98.195, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3287, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8834, kappa: 0.4271, kb_relative_information_score: 62.2372, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8795, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8889, kappa: 0.4134, kb_relative_information_score: 243.236, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8999, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, kb_relative_information_score: -0.6187, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -462.9343, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.073, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 2.1815, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -560.4609, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.09, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3284, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.9767, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -125.927, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0188, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -35.17, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 91.4414, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3286, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 1.427, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 80.7098, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3282, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -35.3628, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8956, kappa: 0.4708, kb_relative_information_score: 283.2297, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8948, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.7866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8965, kappa: 0.4806, kb_relative_information_score: 376.8553, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8946, predictive_accuracy: 0.9053, prior_entropy: 0.5368, recall: 0.9053, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 17.5915, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, kb_relative_information_score: 106.5838, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -95.4302, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 34.9776, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8663, kappa: 0.3732, kb_relative_information_score: 217.3651, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8657, predictive_accuracy: 0.8669, prior_entropy: 0.5368, recall: 0.8669, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8477, kappa: 0.1962, kb_relative_information_score: -6.053, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8399, predictive_accuracy: 0.8731, prior_entropy: 0.5368, recall: 0.8731, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.8793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -105.9529, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, kb_relative_information_score: -150.96, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8236, kappa: 0.0206, kb_relative_information_score: 158.8701, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8126, predictive_accuracy: 0.8759, prior_entropy: 0.5368, recall: 0.8759, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.308, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8641, kappa: 0.2738, kb_relative_information_score: 134.1529, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8703, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.8314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -257.2745, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0392, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6216.1121, mean_absolute_error: 0.8779, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.1221, prior_entropy: 0.5368, recall: 0.1221, relative_absolute_error: 4.088, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.937, root_relative_squared_error: 2.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 15.3386, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8571, kappa: 0.2465, kb_relative_information_score: 39.581, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8533, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8728, kappa: 0.3531, kb_relative_information_score: 230.1154, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8682, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 54.3831, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3278, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 128.8904, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8626, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3296, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, kb_relative_information_score: -84.2283, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -305.7281, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0469, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -200.4664, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 11.8409, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8897, kappa: 0.4388, kb_relative_information_score: 242.4097, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8882, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 15.8427, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -91.8756, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.2545, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -23.2701, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 16.8735, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -391.3495, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3279, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, kb_relative_information_score: 26.5878, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8699, kappa: 0.3294, kb_relative_information_score: 165.2591, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8659, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -287.5618, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.044, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -174.5676, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0262, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 188.5459, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3323, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -180.4669, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0271, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -135.5423, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0156, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0002,

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