Task
Supervised Classification on pollution

Supervised Classification on pollution

Task 3746 Supervised Classification pollution 533 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6068, f_measure: 0.5816, kappa: 0.1629, kb_relative_information_score: 10.7339, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.5828, predictive_accuracy: 0.5833, prior_entropy: 0.9992, recall: 0.5833, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.622, root_relative_squared_error: 1.2446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.5163, kappa: 0.0355, kb_relative_information_score: 1.2301, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.5185, predictive_accuracy: 0.5167, prior_entropy: 0.9992, recall: 0.5167, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.7996, kappa: 0.6013, kb_relative_information_score: 25.9699, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8063, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8333, kappa: 0.667, kb_relative_information_score: 39.9669, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8352, predictive_accuracy: 0.8333, prior_entropy: 0.9992, recall: 0.8333, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7315, kappa: 0.4637, kb_relative_information_score: 24.7587, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7364, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7661, kappa: 0.5318, kb_relative_information_score: 30.0492, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7673, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.7, kappa: 0.3993, kb_relative_information_score: 20.3795, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9992, recall: 0.7, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7272, kappa: 0.4613, kb_relative_information_score: 28.0277, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.749, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7202, kappa: 0.4589, kb_relative_information_score: 26.5328, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7749, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.7973, kappa: 0.5969, kb_relative_information_score: 34.0572, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8113, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.7824, kappa: 0.5686, kb_relative_information_score: 27.4896, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7926, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8165, kappa: 0.6341, kb_relative_information_score: 27.2872, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8205, predictive_accuracy: 0.8167, prior_entropy: 0.9992, recall: 0.8167, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7667, kappa: 0.5328, kb_relative_information_score: 31.1853, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7667, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7824, kappa: 0.5647, kb_relative_information_score: 34.3499, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7855, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.698, kappa: 0.4033, kb_relative_information_score: 27.4383, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7103, predictive_accuracy: 0.7, prior_entropy: 0.9992, recall: 0.7, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.6497, kappa: 0.2984, kb_relative_information_score: 19.4204, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.6498, predictive_accuracy: 0.65, prior_entropy: 0.9992, recall: 0.65, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5391, root_relative_squared_error: 1.0787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.7973, kappa: 0.5969, kb_relative_information_score: 30.8277, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8113, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7635, kappa: 0.5369, kb_relative_information_score: 24.6246, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7889, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7155, kappa: 0.4576, kb_relative_information_score: 28.917, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7956, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7955, kappa: 0.604, kb_relative_information_score: 32.712, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8391, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7661, kappa: 0.5349, kb_relative_information_score: 25.8844, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7725, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7498, kappa: 0.4989, kb_relative_information_score: 16.3053, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9992, recall: 0.75, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.47, f_measure: 0.3835, kappa: -0.0616, kb_relative_information_score: -0.0947, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.4194, predictive_accuracy: 0.4833, prior_entropy: 0.9992, recall: 0.4833, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 24.4934, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7684, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 24.5857, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7684, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7661, kappa: 0.5349, kb_relative_information_score: 27.6139, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7725, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.7455, kappa: 0.4955, kb_relative_information_score: 29.1815, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7626, predictive_accuracy: 0.75, prior_entropy: 0.9992, recall: 0.75, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7987, kappa: 0.6022, kb_relative_information_score: 35.9609, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8137, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6309, kappa: 0.2626, kb_relative_information_score: 17.6877, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.6341, predictive_accuracy: 0.6333, prior_entropy: 0.9992, recall: 0.6333, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5607, root_relative_squared_error: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.7743, kappa: 0.5608, kb_relative_information_score: 30.1173, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8255, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.8322, kappa: 0.6685, kb_relative_information_score: 35.096, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8482, predictive_accuracy: 0.8333, prior_entropy: 0.9992, recall: 0.8333, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.7661, kappa: 0.5349, kb_relative_information_score: 30.9669, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7725, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.8149, kappa: 0.6358, kb_relative_information_score: 37.9639, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8361, predictive_accuracy: 0.8167, prior_entropy: 0.9992, recall: 0.8167, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8165, kappa: 0.6325, kb_relative_information_score: 26.0895, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8168, predictive_accuracy: 0.8167, prior_entropy: 0.9992, recall: 0.8167, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7973, kappa: 0.6031, kb_relative_information_score: 35.9609, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8244, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6309, kappa: 0.2626, kb_relative_information_score: 17.6877, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.6341, predictive_accuracy: 0.6333, prior_entropy: 0.9992, recall: 0.6333, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5607, root_relative_squared_error: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7661, kappa: 0.5349, kb_relative_information_score: 32.4538, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7725, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7772, kappa: 0.5618, kb_relative_information_score: 29.2142, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8096, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.4318, kappa: -0.0544, kb_relative_information_score: -0.0947, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.4597, predictive_accuracy: 0.4833, prior_entropy: 0.9992, recall: 0.4833, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7832, kappa: 0.5676, kb_relative_information_score: 26.0152, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7869, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6659, kappa: 0.3311, kb_relative_information_score: 19.9369, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9992, recall: 0.6667, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.682, kappa: 0.3638, kb_relative_information_score: 21.9399, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.6841, predictive_accuracy: 0.6833, prior_entropy: 0.9992, recall: 0.6833, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1261, scimark_benchmark: 1461.2356, usercpu_time_millis: 107234.375, usercpu_time_millis_training: 107234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7832, kappa: 0.5657, kb_relative_information_score: 33.9579, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7834, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9315, scimark_benchmark: 1461.2356, usercpu_time_millis: 96046.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 96031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.47, f_measure: 0.3835, kappa: -0.0616, kb_relative_information_score: -2.0962, mean_absolute_error: 0.5167, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.4194, predictive_accuracy: 0.4833, prior_entropy: 0.9992, recall: 0.4833, relative_absolute_error: 1.0344, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7188, root_relative_squared_error: 1.4384, scimark_benchmark: 1959.6455, 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: 0.352, kb_relative_information_score: 1.9098, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.2669, predictive_accuracy: 0.5167, prior_entropy: 0.9992, recall: 0.5167, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6952, root_relative_squared_error: 1.3912, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7, kappa: 0.4007, kb_relative_information_score: 22.5743, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7016, predictive_accuracy: 0.7, prior_entropy: 0.9992, recall: 0.7, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.072, scimark_benchmark: 1629.1142, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.352, kb_relative_information_score: 1.9098, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.2669, predictive_accuracy: 0.5167, prior_entropy: 0.9992, recall: 0.5167, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6952, root_relative_squared_error: 1.3912, scimark_benchmark: 1582.0469, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.47, f_measure: 0.3835, kappa: -0.0616, kb_relative_information_score: -2.0962, mean_absolute_error: 0.5167, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.4194, predictive_accuracy: 0.4833, prior_entropy: 0.9992, recall: 0.4833, relative_absolute_error: 1.0344, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7188, root_relative_squared_error: 1.4384, scimark_benchmark: 1370.4115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.682, kappa: 0.3638, kb_relative_information_score: 21.9399, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.6841, predictive_accuracy: 0.6833, prior_entropy: 0.9992, recall: 0.6833, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1261, scimark_benchmark: 1610.0781, usercpu_time_millis: 2780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7832, kappa: 0.5657, kb_relative_information_score: 33.9579, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7834, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9315, scimark_benchmark: 1711.3316, usercpu_time_millis: 2420, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8, kappa: 0.6004, kb_relative_information_score: 34.6094, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8018, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.854, scimark_benchmark: 1908.2191, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7167, kappa: 0.4333, kb_relative_information_score: 28.8068, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7172, predictive_accuracy: 0.7167, prior_entropy: 0.9992, recall: 0.7167, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9357, scimark_benchmark: 1494.0199, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8, kappa: 0.5996, kb_relative_information_score: 34.9859, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7537, scimark_benchmark: 1060.9535, 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: 0.8704, f_measure: 0.7772, kappa: 0.5618, kb_relative_information_score: 29.2142, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8096, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8824, scimark_benchmark: 1282.3781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7333, kappa: 0.4661, kb_relative_information_score: 28.7122, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7333, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9237, scimark_benchmark: 1278.3944, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.698, kappa: 0.3966, kb_relative_information_score: 22.2966, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7023, predictive_accuracy: 0.7, prior_entropy: 0.9992, recall: 0.7, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0488, scimark_benchmark: 1353.8959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7, kappa: 0.3993, kb_relative_information_score: 23.3185, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9992, recall: 0.7, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.0769, scimark_benchmark: 1379.5409, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8, kappa: 0.6004, kb_relative_information_score: 35.6069, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8018, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8856, scimark_benchmark: 1285.3317, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.7, kappa: 0.4007, kb_relative_information_score: 20.4661, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7016, predictive_accuracy: 0.7, prior_entropy: 0.9992, recall: 0.7, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5198, root_relative_squared_error: 1.0402, scimark_benchmark: 577.4453, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8322, kappa: 0.6685, kb_relative_information_score: 39.9669, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8482, predictive_accuracy: 0.8333, prior_entropy: 0.9992, recall: 0.8333, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.817, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.8167, kappa: 0.6333, kb_relative_information_score: 37.9639, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8172, predictive_accuracy: 0.8167, prior_entropy: 0.9992, recall: 0.8167, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8568, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7501, kappa: 0.5, kb_relative_information_score: 22.733, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7506, predictive_accuracy: 0.75, prior_entropy: 0.9992, recall: 0.75, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.884, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.7834, kappa: 0.5667, kb_relative_information_score: 26.5291, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7839, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.726, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7202, kappa: 0.4589, kb_relative_information_score: 26.5328, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7749, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9205, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6309, kappa: 0.2626, kb_relative_information_score: 17.6877, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.6341, predictive_accuracy: 0.6333, prior_entropy: 0.9992, recall: 0.6333, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5607, root_relative_squared_error: 1.122, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7772, kappa: 0.5618, kb_relative_information_score: 29.2142, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8096, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8824, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8322, kappa: 0.6685, kb_relative_information_score: 39.9669, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8482, predictive_accuracy: 0.8333, prior_entropy: 0.9992, recall: 0.8333, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.817, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.8167, kappa: 0.6333, kb_relative_information_score: 37.9639, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8172, predictive_accuracy: 0.8167, prior_entropy: 0.9992, recall: 0.8167, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8568, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7167, kappa: 0.4333, kb_relative_information_score: 26.452, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7172, predictive_accuracy: 0.7167, prior_entropy: 0.9992, recall: 0.7167, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9597, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.698, kappa: 0.3966, kb_relative_information_score: 22.2966, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7023, predictive_accuracy: 0.7, prior_entropy: 0.9992, recall: 0.7, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0488, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7, kappa: 0.3993, kb_relative_information_score: 23.3185, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9992, recall: 0.7, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.0769, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.8, kappa: 0.6004, kb_relative_information_score: 35.6271, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8018, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8856, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7498, kappa: 0.5011, kb_relative_information_score: 26.596, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7533, predictive_accuracy: 0.75, prior_entropy: 0.9992, recall: 0.75, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9096, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7498, kappa: 0.4989, kb_relative_information_score: 22.5757, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9992, recall: 0.75, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8962, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.7832, kappa: 0.5676, kb_relative_information_score: 25.9721, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7869, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7473, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7202, kappa: 0.4589, kb_relative_information_score: 26.5328, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7749, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9205, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6309, kappa: 0.2626, kb_relative_information_score: 17.6877, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.6341, predictive_accuracy: 0.6333, prior_entropy: 0.9992, recall: 0.6333, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5607, root_relative_squared_error: 1.122, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.698, kappa: 0.3966, kb_relative_information_score: 22.2966, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7023, predictive_accuracy: 0.7, prior_entropy: 0.9992, recall: 0.7, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0488, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.7, kappa: 0.3993, kb_relative_information_score: 20.3795, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9992, recall: 0.7, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0025, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7167, kappa: 0.4333, kb_relative_information_score: 26.4813, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7172, predictive_accuracy: 0.7167, prior_entropy: 0.9992, recall: 0.7167, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9599, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.8, kappa: 0.6004, kb_relative_information_score: 35.6271, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8018, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8856, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.8, kappa: 0.6004, kb_relative_information_score: 35.6271, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8018, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8856, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7661, kappa: 0.5318, kb_relative_information_score: 31.7766, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7673, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9066, 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: 0.7681, f_measure: 0.7651, kappa: 0.5359, kb_relative_information_score: 26.285, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7792, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.582, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8839, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7333, kappa: 0.4673, kb_relative_information_score: 25.3729, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.735, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9215, 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: 0.8176, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 28.6302, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7684, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8308, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7812, kappa: 0.5695, kb_relative_information_score: 33.9579, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8012, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9315, 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: 0.8365, f_measure: 0.8322, kappa: 0.6685, kb_relative_information_score: 39.9669, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8482, predictive_accuracy: 0.8333, prior_entropy: 0.9992, recall: 0.8333, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.817, scimark_benchmark: 1320.8698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.7, kappa: 0.3993, kb_relative_information_score: 20.3795, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9992, recall: 0.7, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0025, scimark_benchmark: 894.2868, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7812, kappa: 0.5695, kb_relative_information_score: 21.9333, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8012, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8294, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.743, kappa: 0.5055, kb_relative_information_score: 26.5936, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7913, predictive_accuracy: 0.75, prior_entropy: 0.9992, recall: 0.75, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8809, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.7242, kappa: 0.4731, kb_relative_information_score: 21.6543, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7806, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9611, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7327, kappa: 0.4684, kb_relative_information_score: 19.5676, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7387, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8122, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7333, kappa: 0.4661, kb_relative_information_score: 20.0032, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7333, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8969, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7987, kappa: 0.6022, kb_relative_information_score: 24.716, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8137, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7852, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7832, kappa: 0.5676, kb_relative_information_score: 33.9579, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7869, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9315, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.8167, kappa: 0.6333, kb_relative_information_score: 37.9639, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.8172, predictive_accuracy: 0.8167, prior_entropy: 0.9992, recall: 0.8167, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8568, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.7167, kappa: 0.4333, kb_relative_information_score: 20.9823, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7172, predictive_accuracy: 0.7167, prior_entropy: 0.9992, recall: 0.7167, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9696, scimark_benchmark: 1870.7932,

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

OpenML bootcamp

From your own software

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

OpenML APIs