OpenML
Supervised Classification on mnist_784

Supervised Classification on mnist_784

Task 3573 Supervised Classification mnist_784 13168 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_123 study_41 study_99 under100k vision
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13168 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9923, kappa: 0.9915, kb_relative_information_score: 69471.9537, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 3.3198, recall: 0.9923, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.036, root_relative_squared_error: 0.1199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9923, kappa: 0.9914, kb_relative_information_score: 69461.2113, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 3.3198, recall: 0.9923, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0358, root_relative_squared_error: 0.1192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 69485.1654, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 3.3198, recall: 0.9929, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0341, root_relative_squared_error: 0.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9932, kappa: 0.9925, kb_relative_information_score: 69494.1403, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 3.3198, recall: 0.9932, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0342, root_relative_squared_error: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9921, kb_relative_information_score: 69474.0751, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 3.3198, recall: 0.9929, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0342, root_relative_squared_error: 0.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9927, kb_relative_information_score: 69518.0743, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 3.3198, recall: 0.9934, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0329, root_relative_squared_error: 0.1097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9841, kappa: 0.9823, kb_relative_information_score: 68884.6016, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9841, predictive_accuracy: 0.9841, prior_entropy: 3.3198, recall: 0.9841, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7298, kappa: 0.7009, kb_relative_information_score: 45184.1053, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.7292, predictive_accuracy: 0.7309, prior_entropy: 3.3198, recall: 0.7309, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9677, kappa: 0.9638, kb_relative_information_score: 67693.0975, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9699, predictive_accuracy: 0.9674, prior_entropy: 3.3198, recall: 0.9674, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8601, kappa: 0.844, kb_relative_information_score: 57638.0143, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8708, predictive_accuracy: 0.8597, prior_entropy: 3.3198, recall: 0.8597, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9855, kappa: 0.9839, kb_relative_information_score: 68981.1196, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 3.3198, recall: 0.9855, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.5274, kappa: 0.5087, kb_relative_information_score: 35184.0913, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.7428, predictive_accuracy: 0.5576, prior_entropy: 3.3198, recall: 0.5576, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9852, kappa: 0.9835, kb_relative_information_score: 68911.1925, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 3.3198, recall: 0.9852, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9553, kappa: 0.9503, kb_relative_information_score: 66610.0044, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9561, predictive_accuracy: 0.9553, prior_entropy: 3.3198, recall: 0.9553, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.2738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9538, kappa: 0.9487, kb_relative_information_score: 66234.5867, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9543, predictive_accuracy: 0.9538, prior_entropy: 3.3198, recall: 0.9538, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.2789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9187, kappa: 0.9093, kb_relative_information_score: 63486.3374, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9198, predictive_accuracy: 0.9184, prior_entropy: 3.3198, recall: 0.9184, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, kappa: 0.1524, kb_relative_information_score: 15116.5342, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.242, prior_entropy: 3.3198, recall: 0.242, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8672, kappa: 0.8519, kb_relative_information_score: 59677.4267, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8787, predictive_accuracy: 0.8667, prior_entropy: 3.3198, recall: 0.8667, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, kappa: 0.0685, kb_relative_information_score: 11326.476, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1684, prior_entropy: 3.3198, recall: 0.1684, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3074, root_relative_squared_error: 1.0249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.6918, kappa: 0.6554, kb_relative_information_score: 47215.1, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.7347, predictive_accuracy: 0.6899, prior_entropy: 3.3198, recall: 0.6899, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6433, kappa: 0.606, kb_relative_information_score: 43964.8445, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.6876, predictive_accuracy: 0.6458, prior_entropy: 3.3198, recall: 0.6458, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.5132, kappa: 0.4649, kb_relative_information_score: 34265.9362, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.5972, predictive_accuracy: 0.5186, prior_entropy: 3.3198, recall: 0.5186, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.4585, kappa: 0.4182, kb_relative_information_score: 31828.7785, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.5545, predictive_accuracy: 0.4773, prior_entropy: 3.3198, recall: 0.4773, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.279, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9385, kappa: 0.9321, kb_relative_information_score: 65484.0309, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9422, predictive_accuracy: 0.9389, prior_entropy: 3.3198, recall: 0.9389, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.3309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8068, kappa: 0.7872, kb_relative_information_score: 55807.2729, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.84, predictive_accuracy: 0.8085, prior_entropy: 3.3198, recall: 0.8085, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.6679, kappa: 0.6374, kb_relative_information_score: 46037.7294, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.7079, predictive_accuracy: 0.674, prior_entropy: 3.3198, recall: 0.674, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.7848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.639, kappa: 0.6026, kb_relative_information_score: 43576.0688, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.6868, predictive_accuracy: 0.6423, prior_entropy: 3.3198, recall: 0.6423, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.526, kappa: 0.4665, kb_relative_information_score: 34433.4572, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.6094, predictive_accuracy: 0.5198, prior_entropy: 3.3198, recall: 0.5198, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.4227, kappa: 0.3746, kb_relative_information_score: 29198.0161, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.5504, predictive_accuracy: 0.4371, prior_entropy: 3.3198, recall: 0.4371, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.2586, kappa: 0.2159, kb_relative_information_score: 8744.7903, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.2969, predictive_accuracy: 0.2954, prior_entropy: 3.3198, recall: 0.2954, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, kappa: 0.0669, kb_relative_information_score: 1557.3233, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1649, prior_entropy: 3.3198, recall: 0.1649, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9187, kappa: 0.9095, kb_relative_information_score: 63506.4315, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9199, predictive_accuracy: 0.9186, prior_entropy: 3.3198, recall: 0.9186, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.6335, kappa: 0.5897, kb_relative_information_score: 39858.6899, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.6618, predictive_accuracy: 0.6309, prior_entropy: 3.3198, recall: 0.6309, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.7139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9737, kappa: 0.9708, kb_relative_information_score: 67803.8673, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 3.3198, recall: 0.9737, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.2117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9448, kappa: 0.9388, kb_relative_information_score: 64468.5944, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9449, predictive_accuracy: 0.9449, prior_entropy: 3.3198, recall: 0.9449, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9219, kappa: 0.9133, kb_relative_information_score: 61450.6083, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9221, predictive_accuracy: 0.922, prior_entropy: 3.3198, recall: 0.922, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9762, kappa: 0.9736, kb_relative_information_score: 68133.967, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 3.3198, recall: 0.9762, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.06, root_relative_squared_error: 0.2001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9651, kappa: 0.9612, kb_relative_information_score: 67019.4243, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9651, predictive_accuracy: 0.9651, prior_entropy: 3.3198, recall: 0.9651, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.2424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9853, kappa: 0.9836, kb_relative_information_score: 68906.597, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 3.3198, recall: 0.9853, relative_absolute_error: 0.0202, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8487, kappa: 0.828, kb_relative_information_score: 58620.3612, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8781, predictive_accuracy: 0.8454, prior_entropy: 3.3198, recall: 0.8454, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.4164, kappa: 0.3782, kb_relative_information_score: 30793.9628, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.618, predictive_accuracy: 0.4425, prior_entropy: 3.3198, recall: 0.4425, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3044, root_relative_squared_error: 1.0147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.6035, kappa: 0.5288, kb_relative_information_score: 38924.2889, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.7211, predictive_accuracy: 0.5759, prior_entropy: 3.3198, recall: 0.5759, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.6096, kappa: 0.5503, kb_relative_information_score: 40349.0788, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.711, predictive_accuracy: 0.5954, prior_entropy: 3.3198, recall: 0.5954, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.284, root_relative_squared_error: 0.9467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9821, kappa: 0.9801, kb_relative_information_score: 68717.1696, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9822, predictive_accuracy: 0.9821, prior_entropy: 3.3198, recall: 0.9821, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9619, kappa: 0.9578, kb_relative_information_score: 67389.6405, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9637, predictive_accuracy: 0.962, prior_entropy: 3.3198, recall: 0.962, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.079, root_relative_squared_error: 0.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9726, kappa: 0.9695, kb_relative_information_score: 68032.6946, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 3.3198, recall: 0.9726, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9633, kappa: 0.9592, kb_relative_information_score: 67454.9672, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9639, predictive_accuracy: 0.9633, prior_entropy: 3.3198, recall: 0.9633, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.2674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.96, kappa: 0.9557, kb_relative_information_score: 67251.8267, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9613, predictive_accuracy: 0.9601, prior_entropy: 3.3198, recall: 0.9601, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9632, kappa: 0.9591, kb_relative_information_score: 67440.9089, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9636, predictive_accuracy: 0.9632, prior_entropy: 3.3198, recall: 0.9632, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9618, kappa: 0.9574, kb_relative_information_score: 67265.9189, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9624, predictive_accuracy: 0.9617, prior_entropy: 3.3198, recall: 0.9617, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6245, kappa: 0.5715, kb_relative_information_score: 43236.0253, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.7321, predictive_accuracy: 0.6143, prior_entropy: 3.3198, recall: 0.6143, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.8617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.483, kappa: 0.3949, kb_relative_information_score: 30131.1448, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.6641, predictive_accuracy: 0.4553, prior_entropy: 3.3198, recall: 0.4553, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3298, root_relative_squared_error: 1.0996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9727, kappa: 0.9697, kb_relative_information_score: 67768.403, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 3.3198, recall: 0.9727, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.2157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.3992, kappa: 0.3874, kb_relative_information_score: 7172.9161, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.6024, predictive_accuracy: 0.4511, prior_entropy: 3.3198, recall: 0.4511, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.4184, kappa: 0.3998, kb_relative_information_score: 7519.8824, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.59, predictive_accuracy: 0.4624, prior_entropy: 3.3198, recall: 0.4624, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.9673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9826, kappa: 0.9807, kb_relative_information_score: 68729.6992, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 3.3198, recall: 0.9826, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9821, kappa: 0.9801, kb_relative_information_score: 68609.9876, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9821, predictive_accuracy: 0.9821, prior_entropy: 3.3198, recall: 0.9821, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8722, kappa: 0.8579, kb_relative_information_score: 55321.8099, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8738, predictive_accuracy: 0.8721, prior_entropy: 3.3198, recall: 0.8721, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9719, kappa: 0.9688, kb_relative_information_score: 67730.632, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 3.3198, recall: 0.9719, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8129, kappa: 0.7897, kb_relative_information_score: 55769.1754, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.837, predictive_accuracy: 0.8109, prior_entropy: 3.3198, recall: 0.8109, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.3784, kappa: 0.2993, kb_relative_information_score: 21166.1203, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.4548, predictive_accuracy: 0.3702, prior_entropy: 3.3198, recall: 0.3702, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3104, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.3784, kappa: 0.2993, kb_relative_information_score: 21166.1203, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.4548, predictive_accuracy: 0.3702, prior_entropy: 3.3198, recall: 0.3702, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3104, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.2527, kappa: 0.1723, kb_relative_information_score: 14669.5096, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.3915, predictive_accuracy: 0.257, prior_entropy: 3.3198, recall: 0.257, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3598, root_relative_squared_error: 1.1994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.3435, kappa: 0.2636, kb_relative_information_score: 20703.5923, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.4289, predictive_accuracy: 0.3371, prior_entropy: 3.3198, recall: 0.3371, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3361, root_relative_squared_error: 1.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.3892, kappa: 0.322, kb_relative_information_score: 22164.1611, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.4794, predictive_accuracy: 0.3912, prior_entropy: 3.3198, recall: 0.3912, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.301, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9557, kappa: 0.9507, kb_relative_information_score: 65422.5128, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.956, predictive_accuracy: 0.9556, prior_entropy: 3.3198, recall: 0.9556, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.087, root_relative_squared_error: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.5009, kappa: 0.4339, kb_relative_information_score: 30194.5558, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.585, predictive_accuracy: 0.4902, prior_entropy: 3.3198, recall: 0.4902, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9816, kappa: 0.9796, kb_relative_information_score: 68650.0184, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 3.3198, recall: 0.9817, relative_absolute_error: 0.027, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9736, kappa: 0.9707, kb_relative_information_score: 67818.4466, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 3.3198, recall: 0.9736, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.3524, kappa: 0.2824, kb_relative_information_score: 19553.1761, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.4712, predictive_accuracy: 0.3551, prior_entropy: 3.3198, recall: 0.3551, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3121, root_relative_squared_error: 1.0407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, f_measure: 0.293, kappa: 0.2279, kb_relative_information_score: 16970.4812, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.4571, predictive_accuracy: 0.3063, prior_entropy: 3.3198, recall: 0.3063, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3427, root_relative_squared_error: 1.1425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.2616, kappa: 0.1791, kb_relative_information_score: 14705.151, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.359, predictive_accuracy: 0.2612, prior_entropy: 3.3198, recall: 0.2612, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3481, root_relative_squared_error: 1.1604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.3609, kappa: 0.3113, kb_relative_information_score: 22000.436, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.5138, predictive_accuracy: 0.3833, prior_entropy: 3.3198, recall: 0.3833, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.2879, kappa: 0.2098, kb_relative_information_score: 15816.3702, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.3722, predictive_accuracy: 0.2902, prior_entropy: 3.3198, recall: 0.2902, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3217, root_relative_squared_error: 1.0725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.2796, kappa: 0.2117, kb_relative_information_score: 15432.2511, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.465, predictive_accuracy: 0.294, prior_entropy: 3.3198, recall: 0.294, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3119, root_relative_squared_error: 1.0397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.3547, kappa: 0.2587, kb_relative_information_score: 19207.4764, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.4342, predictive_accuracy: 0.3316, prior_entropy: 3.3198, recall: 0.3316, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3384, root_relative_squared_error: 1.1281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.3548, kappa: 0.2889, kb_relative_information_score: 19728.416, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.4577, predictive_accuracy: 0.3614, prior_entropy: 3.3198, recall: 0.3614, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.2996, kappa: 0.2267, kb_relative_information_score: 18432.0542, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.4645, predictive_accuracy: 0.3064, prior_entropy: 3.3198, recall: 0.3064, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.5875, kappa: 0.5205, kb_relative_information_score: 38300.7959, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.6864, predictive_accuracy: 0.569, prior_entropy: 3.3198, recall: 0.569, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.2631, kappa: 0.1884, kb_relative_information_score: 14629.833, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.3528, predictive_accuracy: 0.271, prior_entropy: 3.3198, recall: 0.271, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3336, root_relative_squared_error: 1.1121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9674, kappa: 0.9638, kb_relative_information_score: 67704.1692, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9683, predictive_accuracy: 0.9674, prior_entropy: 3.3198, recall: 0.9674, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9625, kappa: 0.9582, kb_relative_information_score: 67211.6524, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9629, predictive_accuracy: 0.9624, prior_entropy: 3.3198, recall: 0.9624, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9153, kappa: 0.9037, kb_relative_information_score: 63677.1815, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9227, predictive_accuracy: 0.9133, prior_entropy: 3.3198, recall: 0.9133, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9758, kappa: 0.9731, kb_relative_information_score: 68094.8907, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.976, predictive_accuracy: 0.9758, prior_entropy: 3.3198, recall: 0.9758, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.2024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9808, kappa: 0.9787, kb_relative_information_score: 68583.9906, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 3.3198, recall: 0.9809, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.879, kappa: 0.863, kb_relative_information_score: 61170.3656, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8902, predictive_accuracy: 0.8767, prior_entropy: 3.3198, recall: 0.8767, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.4507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9553, kappa: 0.9504, kb_relative_information_score: 66441.7594, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9557, predictive_accuracy: 0.9554, prior_entropy: 3.3198, recall: 0.9554, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.2749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8696, kappa: 0.8552, kb_relative_information_score: 59818.9784, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8697, predictive_accuracy: 0.8697, prior_entropy: 3.3198, recall: 0.8697, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.144, root_relative_squared_error: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, kappa: 0.1003, kb_relative_information_score: 9937.1592, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1936, prior_entropy: 3.3198, recall: 0.1936, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9135, kappa: 0.9042, kb_relative_information_score: 63654.3791, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9134, predictive_accuracy: 0.9138, prior_entropy: 3.3198, recall: 0.9138, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.4377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 67823.7483, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 3.3198, recall: 0.9695, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.232,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.0).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9839, kappa: 0.9821, kb_relative_information_score: 68818.7504, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 3.3198, recall: 0.9839, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9814, kappa: 0.9793, kb_relative_information_score: 68512.0365, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9814, predictive_accuracy: 0.9814, prior_entropy: 3.3198, recall: 0.9814, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, kappa: 0.1024, kb_relative_information_score: 9779.7719, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.1986, prior_entropy: 3.3198, recall: 0.1986, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.5162, kappa: 0.5077, kb_relative_information_score: 37394.4257, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.6833, predictive_accuracy: 0.5572, prior_entropy: 3.3198, recall: 0.5572, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.9909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9745, kappa: 0.9717, kb_relative_information_score: 67887.1262, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9745, predictive_accuracy: 0.9745, prior_entropy: 3.3198, recall: 0.9745, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9063, kappa: 0.896, kb_relative_information_score: 61418.8076, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9065, predictive_accuracy: 0.9064, prior_entropy: 3.3198, recall: 0.9064, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.948, kappa: 0.9422, kb_relative_information_score: 65942.0451, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9481, predictive_accuracy: 0.948, prior_entropy: 3.3198, recall: 0.948, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9736, kappa: 0.9706, kb_relative_information_score: 67884.3967, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 3.3198, recall: 0.9736, relative_absolute_error: 0.0469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2109,

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

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

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