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OpenML
OpenML
Supervised Classification on autos

Supervised Classification on autos

Task 9 Supervised Classification autos 1382 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_73 under100k under1m
Issue #Downvotes for this reason By


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1382 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.5558, kappa: 0.4382, kb_relative_information_score: 95.3732, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5524, predictive_accuracy: 0.5659, prior_entropy: 2.3268, recall: 0.5659, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.8562, scimark_benchmark: 921.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8246, kappa: 0.77, kb_relative_information_score: 157.6641, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8302, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6342, scimark_benchmark: 944.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 3.7986, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3328, root_relative_squared_error: 1.0031, scimark_benchmark: 945.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.799, kappa: 0.7387, kb_relative_information_score: 149.6716, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6986, scimark_benchmark: 920.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.783, kappa: 0.7214, kb_relative_information_score: 143.6212, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.79, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6946, scimark_benchmark: 948.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7611, kappa: 0.6896, kb_relative_information_score: 143.2236, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7624, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.7118, scimark_benchmark: 947.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.756, kappa: 0.6829, kb_relative_information_score: 37.5331, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7562, predictive_accuracy: 0.7561, prior_entropy: 2.3268, recall: 0.7561, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.9331, scimark_benchmark: 897.1565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.5434, kappa: 0.4242, kb_relative_information_score: 91.9741, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5417, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.6926, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.4501, kappa: 0.2928, kb_relative_information_score: 69.9025, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.4454, predictive_accuracy: 0.4683, prior_entropy: 2.3268, recall: 0.4683, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3898, root_relative_squared_error: 1.1748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5432, kappa: 0.4273, kb_relative_information_score: 101.7446, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5612, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9574, scimark_benchmark: 946.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.5804, kappa: 0.4385, kb_relative_information_score: 21.1219, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7044, predictive_accuracy: 0.5951, prior_entropy: 2.3268, recall: 0.5951, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.9654, scimark_benchmark: 940.2542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8352, kappa: 0.783, kb_relative_information_score: 155.9479, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8412, predictive_accuracy: 0.8341, prior_entropy: 2.3268, recall: 0.8341, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.5987, scimark_benchmark: 946.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.6589, kappa: 0.5273, kb_relative_information_score: 4.3199, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7095, predictive_accuracy: 0.6244, prior_entropy: 2.3268, recall: 0.6244, relative_absolute_error: 1.069, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.0182, scimark_benchmark: 948.1727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.799, kappa: 0.7387, kb_relative_information_score: 149.6716, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6986, scimark_benchmark: 907.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7991, kappa: 0.7385, kb_relative_information_score: 148.6216, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6965, scimark_benchmark: 937.8508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.799, kappa: 0.7387, kb_relative_information_score: 149.6716, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6986, scimark_benchmark: 947.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.7561, kappa: 0.6843, kb_relative_information_score: 37.5784, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7567, predictive_accuracy: 0.7561, prior_entropy: 2.3268, recall: 0.7561, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.9336, scimark_benchmark: 938.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.7465, kappa: 0.6692, kb_relative_information_score: 37.9249, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7544, predictive_accuracy: 0.7463, prior_entropy: 2.3268, recall: 0.7463, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.4501, kappa: 0.2928, kb_relative_information_score: 69.9025, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.4454, predictive_accuracy: 0.4683, prior_entropy: 2.3268, recall: 0.4683, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3898, root_relative_squared_error: 1.1748, scimark_benchmark: 948.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.5377, kappa: 0.4163, kb_relative_information_score: 84.269, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5493, predictive_accuracy: 0.561, prior_entropy: 2.3268, recall: 0.561, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.8837, scimark_benchmark: 922.3657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.5821, kappa: 0.4401, kb_relative_information_score: 21.765, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6865, predictive_accuracy: 0.5951, prior_entropy: 2.3268, recall: 0.5951, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.9642, scimark_benchmark: 948.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8334, kappa: 0.784, kb_relative_information_score: 140.5788, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8348, predictive_accuracy: 0.8341, prior_entropy: 2.3268, recall: 0.8341, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.5984, scimark_benchmark: 889.1553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 947.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.7219, kappa: 0.6382, kb_relative_information_score: 37.7338, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7271, predictive_accuracy: 0.722, prior_entropy: 2.3268, recall: 0.722, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.9338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.7611, kappa: 0.6901, kb_relative_information_score: 37.5688, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7622, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.9326, scimark_benchmark: 944.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 911.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.6843, kappa: 0.5771, kb_relative_information_score: 28.4437, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7397, predictive_accuracy: 0.6878, prior_entropy: 2.3268, recall: 0.6878, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.9487, scimark_benchmark: 938.5673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.6952, kappa: 0.6052, kb_relative_information_score: 127.6899, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7, predictive_accuracy: 0.6976, prior_entropy: 2.3268, recall: 0.6976, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.7582, scimark_benchmark: 887.2536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.5489, kappa: 0.3924, kb_relative_information_score: 17.7959, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8144, predictive_accuracy: 0.5707, prior_entropy: 2.3268, recall: 0.5707, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.972, scimark_benchmark: 911.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.6633, kappa: 0.5651, kb_relative_information_score: 32.854, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6701, predictive_accuracy: 0.6732, prior_entropy: 2.3268, recall: 0.6732, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.9439, scimark_benchmark: 911.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.526, f_measure: 0.2251, kappa: 0.0546, kb_relative_information_score: 4.3406, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3166, predictive_accuracy: 0.361, prior_entropy: 2.3268, recall: 0.361, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3321, root_relative_squared_error: 1.001, scimark_benchmark: 950.0488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 948.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8583, kappa: 0.8153, kb_relative_information_score: 139.3723, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8602, predictive_accuracy: 0.8585, prior_entropy: 2.3268, recall: 0.8585, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.5861, scimark_benchmark: 947.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 915.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7165, kappa: 0.6327, kb_relative_information_score: 132.0963, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7171, predictive_accuracy: 0.7171, prior_entropy: 2.3268, recall: 0.7171, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.7963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7991, kappa: 0.7385, kb_relative_information_score: 148.6216, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6965, scimark_benchmark: 919.1953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.5028, kappa: 0.374, kb_relative_information_score: 83.5358, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5195, predictive_accuracy: 0.5415, prior_entropy: 2.3268, recall: 0.5415, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.362, root_relative_squared_error: 1.091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.6224, kappa: 0.5222, kb_relative_information_score: 113.551, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6159, predictive_accuracy: 0.6341, prior_entropy: 2.3268, recall: 0.6341, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.264, root_relative_squared_error: 0.7957, scimark_benchmark: 944.1344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.7614, kappa: 0.691, kb_relative_information_score: 37.5288, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7631, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9329, scimark_benchmark: 949.7413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.5279, kappa: 0.4012, kb_relative_information_score: 86.4631, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5286, predictive_accuracy: 0.5415, prior_entropy: 2.3268, recall: 0.5415, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.8787, scimark_benchmark: 924.0878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.6346, kappa: 0.537, kb_relative_information_score: 113.4281, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6423, predictive_accuracy: 0.6488, prior_entropy: 2.3268, recall: 0.6488, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.9548, scimark_benchmark: 946.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.4988, kappa: 0.3681, kb_relative_information_score: 73.6125, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5058, predictive_accuracy: 0.5268, prior_entropy: 2.3268, recall: 0.5268, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9043, scimark_benchmark: 937.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.6509, kappa: 0.5452, kb_relative_information_score: 104.3851, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6706, predictive_accuracy: 0.6585, prior_entropy: 2.3268, recall: 0.6585, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.8249, scimark_benchmark: 946.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.741, kappa: 0.6631, kb_relative_information_score: 38.0793, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7478, predictive_accuracy: 0.7415, prior_entropy: 2.3268, recall: 0.7415, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.9323, scimark_benchmark: 923.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.7428, kappa: 0.6686, kb_relative_information_score: 133.1216, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7439, predictive_accuracy: 0.7463, prior_entropy: 2.3268, recall: 0.7463, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.232, root_relative_squared_error: 0.6992, scimark_benchmark: 942.6749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.6314, kappa: 0.5276, kb_relative_information_score: 103.2276, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.626, predictive_accuracy: 0.639, prior_entropy: 2.3268, recall: 0.639, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.8038, scimark_benchmark: 945.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7991, kappa: 0.7385, kb_relative_information_score: 148.6216, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6965, scimark_benchmark: 912.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.6636, kappa: 0.5687, kb_relative_information_score: 35.0938, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6622, predictive_accuracy: 0.6732, prior_entropy: 2.3268, recall: 0.6732, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.9398, scimark_benchmark: 937.4423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7258, kappa: 0.6391, kb_relative_information_score: 129.736, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7319, predictive_accuracy: 0.722, prior_entropy: 2.3268, recall: 0.722, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.8331, scimark_benchmark: 947.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.63, kappa: 0.5187, kb_relative_information_score: 115.6338, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6371, predictive_accuracy: 0.6293, prior_entropy: 2.3268, recall: 0.6293, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.306, root_relative_squared_error: 0.9222, scimark_benchmark: 929.5897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.4308, kappa: 0.3008, kb_relative_information_score: 60.7963, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.4301, predictive_accuracy: 0.4976, prior_entropy: 2.3268, recall: 0.4976, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9004, scimark_benchmark: 926.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.7407, kappa: 0.6626, kb_relative_information_score: 135.0769, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7448, predictive_accuracy: 0.7415, prior_entropy: 2.3268, recall: 0.7415, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7134, scimark_benchmark: 911.2626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.7888, kappa: 0.727, kb_relative_information_score: 144.4202, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7913, predictive_accuracy: 0.7902, prior_entropy: 2.3268, recall: 0.7902, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 913.5522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.4734, kappa: 0.3128, kb_relative_information_score: 14.1162, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6839, predictive_accuracy: 0.522, prior_entropy: 2.3268, recall: 0.522, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9788, scimark_benchmark: 929.1618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.6477, kappa: 0.5477, kb_relative_information_score: 103.6677, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6434, predictive_accuracy: 0.6537, prior_entropy: 2.3268, recall: 0.6537, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.801, scimark_benchmark: 908.6087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.65, kappa: 0.5409, kb_relative_information_score: 120.9936, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6599, predictive_accuracy: 0.6439, prior_entropy: 2.3268, recall: 0.6439, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 898.2721,

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

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