Task
Supervised Classification on rabe_265

Supervised Classification on rabe_265

Task 3646 Supervised Classification rabe_265 523 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.6597, kappa: 0.3026, kb_relative_information_score: 10.9985, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6965, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.6497, kappa: 0.2917, kb_relative_information_score: 9.4457, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7124, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.6333, kappa: 0.2532, kb_relative_information_score: 4.3753, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6756, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.6439, kappa: 0.2609, kb_relative_information_score: 13.3696, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6428, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.2071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.6498, kappa: 0.2917, kb_relative_information_score: 11.4802, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6605, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7377, kappa: 0.4543, kb_relative_information_score: 18.1987, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7458, predictive_accuracy: 0.7451, prior_entropy: 0.9791, recall: 0.7451, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.6863, kappa: 0.3524, kb_relative_information_score: 11.1244, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6863, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.6744, kappa: 0.3234, kb_relative_information_score: 13.9542, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.683, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.6301, kappa: 0.2471, kb_relative_information_score: 8.7926, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.637, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.593, kappa: 0.1542, kb_relative_information_score: 6.6858, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5954, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.6301, kappa: 0.2471, kb_relative_information_score: 10.7078, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.637, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6471, kappa: 0.2714, kb_relative_information_score: 14.1401, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6471, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5098, root_relative_squared_error: 1.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.622, kappa: 0.2141, kb_relative_information_score: 8.5209, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6209, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.1198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.649, kappa: 0.2817, kb_relative_information_score: 8.668, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6529, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.6171, kappa: 0.2154, kb_relative_information_score: 8.823, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6444, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.6009, kappa: 0.1781, kb_relative_information_score: 10.8194, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6173, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5243, root_relative_squared_error: 1.0652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.6744, kappa: 0.3234, kb_relative_information_score: 9.1188, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.683, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.6744, kappa: 0.3234, kb_relative_information_score: 9.1188, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.683, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.6863, kappa: 0.3524, kb_relative_information_score: 9.7702, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6863, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.6678, kappa: 0.3131, kb_relative_information_score: 12.7452, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6875, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, f_measure: 0.5866, kappa: 0.1439, kb_relative_information_score: 7.1503, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5854, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6678, kappa: 0.3131, kb_relative_information_score: 6.9456, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6875, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4786, f_measure: 0.4357, kb_relative_information_score: -0.0501, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 11.1383, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.6009, kappa: 0.1781, kb_relative_information_score: 13.0225, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6173, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.6009, kappa: 0.1781, kb_relative_information_score: 13.0225, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6173, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.5848, kappa: 0.1414, kb_relative_information_score: 4.2079, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5932, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.6498, kappa: 0.2917, kb_relative_information_score: 10.8984, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6605, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.6507, kappa: 0.2757, kb_relative_information_score: 13.1431, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6622, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.669, kappa: 0.3263, kb_relative_information_score: 11.3023, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6759, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.6074, kappa: 0.2293, kb_relative_information_score: 15.4554, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7222, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6918, kappa: 0.3609, kb_relative_information_score: 9.5182, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7075, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.7068, kappa: 0.3972, kb_relative_information_score: 11.0877, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7083, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.5419, kappa: 0.1247, kb_relative_information_score: 11.2838, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6718, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.6109, kappa: 0.213, kb_relative_information_score: 10.0851, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6214, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.5848, kappa: 0.1414, kb_relative_information_score: 4.2079, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5932, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.5419, kappa: 0.1247, kb_relative_information_score: 11.2838, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6718, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.5848, kappa: 0.1414, kb_relative_information_score: 4.2079, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5932, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4357, kb_relative_information_score: -0.0817, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.6395, kappa: 0.25, kb_relative_information_score: 7.0042, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6401, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.6301, kappa: 0.2471, kb_relative_information_score: 11.2838, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.637, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5132, kappa: 0.0093, kb_relative_information_score: -1.2311, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5202, predictive_accuracy: 0.5098, prior_entropy: 0.9791, recall: 0.5098, relative_absolute_error: 1.0107, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.7001, root_relative_squared_error: 1.4226, scimark_benchmark: 1631.1992, usercpu_time_millis: 232015.625, usercpu_time_millis_training: 232015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 7.1122, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 7.1122, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 7.1122, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 1362.1006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 7.1122, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 1377.9348, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5132, kappa: 0.0093, kb_relative_information_score: -1.2311, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5202, predictive_accuracy: 0.5098, prior_entropy: 0.9791, recall: 0.5098, relative_absolute_error: 1.0107, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.7001, root_relative_squared_error: 1.4226, scimark_benchmark: 1384.7507, usercpu_time_millis: 2810, usercpu_time_millis_training: 2810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.688, kappa: 0.3615, kb_relative_information_score: 14.353, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6918, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.9905, scimark_benchmark: 1908.2191, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 11.5546, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0522, scimark_benchmark: 1908.2191, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7231, kappa: 0.4251, kb_relative_information_score: 21.7128, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7229, predictive_accuracy: 0.7255, prior_entropy: 0.9791, recall: 0.7255, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.0646, scimark_benchmark: 1827.4462, usercpu_time_millis: 217343.75, usercpu_time_millis_training: 217343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7441, kappa: 0.47, kb_relative_information_score: 17.6675, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7436, predictive_accuracy: 0.7451, prior_entropy: 0.9791, recall: 0.7451, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9387, scimark_benchmark: 1341.3165, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6439, kappa: 0.2609, kb_relative_information_score: 10.9376, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6428, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4922, root_relative_squared_error: 1.0001, scimark_benchmark: 1293.3306, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.669, kappa: 0.3263, kb_relative_information_score: 11.3023, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6759, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9532, scimark_benchmark: 1282.7774, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.688, kappa: 0.3615, kb_relative_information_score: 14.2024, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6918, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9879, scimark_benchmark: 1152.8197, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.6074, kappa: 0.2293, kb_relative_information_score: 15.4554, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7222, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1731, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.6395, kappa: 0.25, kb_relative_information_score: 13.3696, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6401, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.2071, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7016, kappa: 0.3796, kb_relative_information_score: 12.0451, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7023, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9607, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 14.9254, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1491, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.778, kappa: 0.5383, kb_relative_information_score: 25.0266, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7883, predictive_accuracy: 0.7843, prior_entropy: 0.9791, recall: 0.7843, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9591, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.5594, kappa: 0.0833, kb_relative_information_score: 3.1085, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5571, predictive_accuracy: 0.5686, prior_entropy: 0.9791, recall: 0.5686, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.1071, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5771, kappa: 0.1522, kb_relative_information_score: 4.4858, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6267, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0804, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6973, kappa: 0.3704, kb_relative_information_score: 9.8395, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7033, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9443, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.6301, kappa: 0.2471, kb_relative_information_score: 10.7078, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.637, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9626, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.6097, kappa: 0.1905, kb_relative_information_score: 6.2937, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6169, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1312, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.669, kappa: 0.3263, kb_relative_information_score: 11.3023, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6759, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9532, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.6074, kappa: 0.2293, kb_relative_information_score: 15.4554, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7222, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1731, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.6395, kappa: 0.25, kb_relative_information_score: 13.3696, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6401, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.2071, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.688, kappa: 0.3615, kb_relative_information_score: 14.2024, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6918, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9879, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7016, kappa: 0.3796, kb_relative_information_score: 12.0451, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7023, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9607, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 14.9254, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1491, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.778, kappa: 0.5383, kb_relative_information_score: 25.0266, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7883, predictive_accuracy: 0.7843, prior_entropy: 0.9791, recall: 0.7843, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9591, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.5594, kappa: 0.0833, kb_relative_information_score: 3.1085, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5571, predictive_accuracy: 0.5686, prior_entropy: 0.9791, recall: 0.5686, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.1071, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5771, kappa: 0.1522, kb_relative_information_score: 4.4858, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6267, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0804, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6973, kappa: 0.3704, kb_relative_information_score: 9.8395, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7033, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9443, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.6301, kappa: 0.2471, kb_relative_information_score: 10.7078, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.637, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9626, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.6097, kappa: 0.1905, kb_relative_information_score: 6.2937, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6169, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1312, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7016, kappa: 0.3796, kb_relative_information_score: 12.0451, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7023, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9607, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.778, kappa: 0.5383, kb_relative_information_score: 25.0266, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7883, predictive_accuracy: 0.7843, prior_entropy: 0.9791, recall: 0.7843, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9591, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.688, kappa: 0.3615, kb_relative_information_score: 14.1599, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6918, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9879, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.6439, kappa: 0.2609, kb_relative_information_score: 11.9583, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6428, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0193, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, f_measure: 0.6171, kappa: 0.2154, kb_relative_information_score: 7.0911, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6444, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0071, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.6228, kappa: 0.2688, kb_relative_information_score: 9.4252, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7954, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9188, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.6678, kappa: 0.3131, kb_relative_information_score: 6.1572, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6875, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9435, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.5419, kappa: 0.1247, kb_relative_information_score: 11.2838, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6718, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2402, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.5756, kappa: 0.1774, kb_relative_information_score: 13.3696, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7003, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.2071, scimark_benchmark: 1543.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.6744, kappa: 0.3234, kb_relative_information_score: 13.9542, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.683, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9712, scimark_benchmark: 959.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6171, kappa: 0.2154, kb_relative_information_score: 5.9787, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6444, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9664, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.5922, kappa: 0.1905, kb_relative_information_score: 9.8723, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6684, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0124, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.7107, kappa: 0.4199, kb_relative_information_score: 15.0144, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.8222, predictive_accuracy: 0.7451, prior_entropy: 0.9791, recall: 0.7451, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9596, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.6097, kappa: 0.1905, kb_relative_information_score: 4.2692, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6169, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.9784, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, f_measure: 0.5621, kappa: 0.1146, kb_relative_information_score: 9.8317, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5929, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9889, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6618, kappa: 0.2968, kb_relative_information_score: 11.1383, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 0.9791, recall: 0.6667, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9083, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6597, kappa: 0.3026, kb_relative_information_score: 17.5412, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6965, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.1381, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.6395, kappa: 0.25, kb_relative_information_score: 13.3696, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6401, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.2071, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.5746, kappa: 0.1282, kb_relative_information_score: 4.298, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5922, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0664, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, f_measure: 0.5621, kappa: 0.1146, kb_relative_information_score: 2.9709, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.5929, predictive_accuracy: 0.6078, prior_entropy: 0.9791, recall: 0.6078, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.0939, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.6166, kappa: 0.2025, kb_relative_information_score: 6.0252, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6182, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9925, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.6301, kappa: 0.2471, kb_relative_information_score: 10.7078, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.637, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9626, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, f_measure: 0.5902, kappa: 0.1654, kb_relative_information_score: 5.2411, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6201, predictive_accuracy: 0.6275, prior_entropy: 0.9791, recall: 0.6275, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0268, scimark_benchmark: 1838.8826,

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