OpenML
Supervised Classification on braziltourism

Supervised Classification on braziltourism

Task 2078 Supervised Classification braziltourism 521 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.6852, kappa: 0.0819, kb_relative_information_score: -218.95, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6233, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 1.473, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2622, root_relative_squared_error: 1.1277, scimark_benchmark: 916.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -276.2959, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.6594, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1977, scimark_benchmark: 916.8849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7053, kappa: 0.1605, kb_relative_information_score: -84.7041, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6827, predictive_accuracy: 0.7451, prior_entropy: 1.1781, recall: 0.7451, relative_absolute_error: 1.233, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2397, root_relative_squared_error: 1.0309, scimark_benchmark: 943.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6967, kappa: 0.1298, kb_relative_information_score: 51.6202, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6602, predictive_accuracy: 0.7597, prior_entropy: 1.1781, recall: 0.7597, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9916, scimark_benchmark: 944.5751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.6725, kb_relative_information_score: -333.9599, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.8952, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.331, scimark_benchmark: 940.7858,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.6868, kappa: 0.1306, kb_relative_information_score: 44.3419, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6613, predictive_accuracy: 0.7476, prior_entropy: 1.1781, recall: 0.7476, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.245, root_relative_squared_error: 1.054, scimark_benchmark: 941.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.654, kappa: 0.0975, kb_relative_information_score: -4.0422, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6582, predictive_accuracy: 0.6505, prior_entropy: 1.1781, recall: 0.6505, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.3194, scimark_benchmark: 926.2347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4756, f_measure: 0.6689, kappa: -0.012, kb_relative_information_score: 3.6267, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5945, predictive_accuracy: 0.7646, prior_entropy: 1.1781, recall: 0.7646, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2348, root_relative_squared_error: 1.0099, scimark_benchmark: 943.1081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6668, kappa: 0.1009, kb_relative_information_score: -11.3998, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.652, predictive_accuracy: 0.7063, prior_entropy: 1.1781, recall: 0.7063, relative_absolute_error: 1.0207, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2529, root_relative_squared_error: 1.0879, scimark_benchmark: 939.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.6937, kappa: 0.121, kb_relative_information_score: 39.7456, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6262, predictive_accuracy: 0.7791, prior_entropy: 1.1781, recall: 0.7791, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9793, scimark_benchmark: 925.3314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, f_measure: 0.6713, kappa: -0.0041, kb_relative_information_score: 6.9296, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5953, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2331, root_relative_squared_error: 1.0027, scimark_benchmark: 946.1528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7053, kappa: 0.1605, kb_relative_information_score: -84.7041, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6827, predictive_accuracy: 0.7451, prior_entropy: 1.1781, recall: 0.7451, relative_absolute_error: 1.233, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2397, root_relative_squared_error: 1.0309, scimark_benchmark: 930.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.6961, kappa: 0.1629, kb_relative_information_score: 34.2802, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6792, predictive_accuracy: 0.716, prior_entropy: 1.1781, recall: 0.716, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2587, root_relative_squared_error: 1.1129, scimark_benchmark: 902.2789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.7035, kappa: 0.1694, kb_relative_information_score: 61.3858, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6849, predictive_accuracy: 0.7306, prior_entropy: 1.1781, recall: 0.7306, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2736, root_relative_squared_error: 1.1766, scimark_benchmark: 904.8077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.6835, kappa: 0.0892, kb_relative_information_score: -122.1328, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6371, predictive_accuracy: 0.7524, prior_entropy: 1.1781, recall: 0.7524, relative_absolute_error: 1.3002, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2472, root_relative_squared_error: 1.0634, scimark_benchmark: 941.5149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.7001, kappa: 0.1268, kb_relative_information_score: 2.5108, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6685, predictive_accuracy: 0.7597, prior_entropy: 1.1781, recall: 0.7597, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2693, root_relative_squared_error: 1.1584, scimark_benchmark: 926.9276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.568, f_measure: 0.6973, kappa: 0.1365, kb_relative_information_score: -339.9796, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6722, predictive_accuracy: 0.7379, prior_entropy: 1.1781, recall: 0.7379, relative_absolute_error: 1.9051, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3109, root_relative_squared_error: 1.3373, scimark_benchmark: 942.4043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.6975, kappa: 0.1408, kb_relative_information_score: 38.6025, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7822, predictive_accuracy: 0.7767, prior_entropy: 1.1781, recall: 0.7767, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9854, scimark_benchmark: 878.6734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.6805, kappa: 0.1291, kb_relative_information_score: -2.1756, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6334, predictive_accuracy: 0.7354, prior_entropy: 1.1781, recall: 0.7354, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2408, root_relative_squared_error: 1.0356, scimark_benchmark: 931.1925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.6779, kappa: 0.0333, kb_relative_information_score: -334.3813, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6381, predictive_accuracy: 0.7451, prior_entropy: 1.1781, recall: 0.7451, relative_absolute_error: 1.8988, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3101, root_relative_squared_error: 1.3338, scimark_benchmark: 941.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.6725, kb_relative_information_score: -333.9599, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.8952, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.331, scimark_benchmark: 885.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.7167, kappa: 0.2002, kb_relative_information_score: 44.6311, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6995, predictive_accuracy: 0.7524, prior_entropy: 1.1781, recall: 0.7524, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2362, root_relative_squared_error: 1.0161, scimark_benchmark: 938.1712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6773, kappa: 0.1198, kb_relative_information_score: -4.7555, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6317, predictive_accuracy: 0.7306, prior_entropy: 1.1781, recall: 0.7306, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.242, root_relative_squared_error: 1.0409, scimark_benchmark: 923.1639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, f_measure: 0.6793, kappa: 0.0349, kb_relative_information_score: 71.349, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6376, predictive_accuracy: 0.7451, prior_entropy: 1.1781, recall: 0.7451, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2698, root_relative_squared_error: 1.1607, scimark_benchmark: 925.3477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.6941, kappa: 0.1047, kb_relative_information_score: -115.9436, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6621, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 1.2846, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2412, root_relative_squared_error: 1.0373, scimark_benchmark: 935.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.7001, kappa: 0.1282, kb_relative_information_score: 39.1198, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6734, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9865, scimark_benchmark: 919.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.6808, kappa: 0.0802, kb_relative_information_score: 56.2816, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6214, predictive_accuracy: 0.7549, prior_entropy: 1.1781, recall: 0.7549, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9829, scimark_benchmark: 922.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.7151, kappa: 0.1899, kb_relative_information_score: 43.7464, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6895, predictive_accuracy: 0.7573, prior_entropy: 1.1781, recall: 0.7573, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2413, root_relative_squared_error: 1.0378, scimark_benchmark: 930.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -276.2959, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.6594, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1977, scimark_benchmark: 938.9239,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.7073, kappa: 0.1858, kb_relative_information_score: 65.4721, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6909, predictive_accuracy: 0.7306, prior_entropy: 1.1781, recall: 0.7306, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2752, root_relative_squared_error: 1.1836, scimark_benchmark: 938.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.6756, kappa: 0.0089, kb_relative_information_score: 33.5177, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6481, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2343, root_relative_squared_error: 1.0077, scimark_benchmark: 936.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6917, kappa: 0.1092, kb_relative_information_score: 54.6347, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6542, predictive_accuracy: 0.7597, prior_entropy: 1.1781, recall: 0.7597, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9699, scimark_benchmark: 941.4797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, f_measure: 0.6716, kappa: 0.0125, kb_relative_information_score: 45.9963, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5988, predictive_accuracy: 0.7646, prior_entropy: 1.1781, recall: 0.7646, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.9734, scimark_benchmark: 946.5171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.7075, kappa: 0.1723, kb_relative_information_score: 46.5144, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6817, predictive_accuracy: 0.7476, prior_entropy: 1.1781, recall: 0.7476, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2377, root_relative_squared_error: 1.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4723, f_measure: 0.6677, kappa: -0.0159, kb_relative_information_score: 3.2608, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.594, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2352, root_relative_squared_error: 1.0119, scimark_benchmark: 907.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.6785, kappa: 0.0431, kb_relative_information_score: -68.15, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6162, predictive_accuracy: 0.767, prior_entropy: 1.1781, recall: 0.767, relative_absolute_error: 1.199, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2596, root_relative_squared_error: 1.1165, scimark_benchmark: 926.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.6851, kappa: 0.1409, kb_relative_information_score: 44.0738, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6727, predictive_accuracy: 0.699, prior_entropy: 1.1781, recall: 0.699, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2907, root_relative_squared_error: 1.2502, scimark_benchmark: 932.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.6761, kappa: 0.1162, kb_relative_information_score: -1.3375, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6313, predictive_accuracy: 0.7282, prior_entropy: 1.1781, recall: 0.7282, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2416, root_relative_squared_error: 1.039, scimark_benchmark: 917.6437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.697, kappa: 0.1258, kb_relative_information_score: 55.3049, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6719, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9653, scimark_benchmark: 931.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, f_measure: 0.6813, kappa: 0.0672, kb_relative_information_score: 89.429, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6167, predictive_accuracy: 0.7646, prior_entropy: 1.1781, recall: 0.7646, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2594, root_relative_squared_error: 1.1156, scimark_benchmark: 916.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.6725, kb_relative_information_score: -1.6113, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2326, root_relative_squared_error: 1.0003, scimark_benchmark: 945.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.6947, kappa: 0.1386, kb_relative_information_score: 34.9335, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6732, predictive_accuracy: 0.7306, prior_entropy: 1.1781, recall: 0.7306, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2428, root_relative_squared_error: 1.0444, scimark_benchmark: 944.1546,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -276.2959, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.6594, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1977, scimark_benchmark: 922.1759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6799, kappa: 0.1259, kb_relative_information_score: 22.0133, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6678, predictive_accuracy: 0.6942, prior_entropy: 1.1781, recall: 0.6942, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2617, root_relative_squared_error: 1.1257, scimark_benchmark: 934.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.6942, kappa: 0.1441, kb_relative_information_score: 53.0978, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6734, predictive_accuracy: 0.7209, prior_entropy: 1.1781, recall: 0.7209, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2688, root_relative_squared_error: 1.156, scimark_benchmark: 919.2699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.6601, kappa: 0.0896, kb_relative_information_score: 7.1502, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6531, predictive_accuracy: 0.6675, prior_entropy: 1.1781, recall: 0.6675, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.3138, scimark_benchmark: 939.4049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6977, kappa: 0.1162, kb_relative_information_score: -226.6259, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7051, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 1.5109, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2576, root_relative_squared_error: 1.1081, scimark_benchmark: 871.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.6601, kappa: 0.0896, kb_relative_information_score: 7.1502, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6531, predictive_accuracy: 0.6675, prior_entropy: 1.1781, recall: 0.6675, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.3138, scimark_benchmark: 935.7048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.6621, kappa: 0.0772, kb_relative_information_score: 25.5572, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6467, predictive_accuracy: 0.6796, prior_entropy: 1.1781, recall: 0.6796, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2967, root_relative_squared_error: 1.2762, scimark_benchmark: 896.1565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.7069, kappa: 0.1544, kb_relative_information_score: 112.2875, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7203, predictive_accuracy: 0.7864, prior_entropy: 1.1781, recall: 0.7864, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2434, root_relative_squared_error: 1.0468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6315, f_measure: 0.6796, kappa: 0.1, kb_relative_information_score: 33.4789, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.657, predictive_accuracy: 0.7136, prior_entropy: 1.1781, recall: 0.7136, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2473, root_relative_squared_error: 1.0637, scimark_benchmark: 886.1909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.6975, kappa: 0.1408, kb_relative_information_score: 38.6025, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7822, predictive_accuracy: 0.7767, prior_entropy: 1.1781, recall: 0.7767, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9854, scimark_benchmark: 921.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6807, kappa: 0.0359, kb_relative_information_score: -22.7958, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6404, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 1.0593, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9854, scimark_benchmark: 947.7799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.6601, kappa: 0.0896, kb_relative_information_score: 7.1502, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6531, predictive_accuracy: 0.6675, prior_entropy: 1.1781, recall: 0.6675, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.3138, scimark_benchmark: 947.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.7053, kappa: 0.1532, kb_relative_information_score: 42.3158, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6891, predictive_accuracy: 0.7646, prior_entropy: 1.1781, recall: 0.7646, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.234, root_relative_squared_error: 1.0067, scimark_benchmark: 945.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.6725, kb_relative_information_score: 5.5148, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0001, scimark_benchmark: 927.5513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.7075, kappa: 0.1728, kb_relative_information_score: 79.0603, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6882, predictive_accuracy: 0.7403, prior_entropy: 1.1781, recall: 0.7403, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.1694, scimark_benchmark: 941.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.6947, kappa: 0.1439, kb_relative_information_score: 64.5021, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6736, predictive_accuracy: 0.7257, prior_entropy: 1.1781, recall: 0.7257, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.279, root_relative_squared_error: 1.2003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.6975, kappa: 0.1408, kb_relative_information_score: 38.6025, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7822, predictive_accuracy: 0.7767, prior_entropy: 1.1781, recall: 0.7767, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9854, scimark_benchmark: 915.2502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.703, kappa: 0.1796, kb_relative_information_score: 22.7729, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6863, predictive_accuracy: 0.7233, prior_entropy: 1.1781, recall: 0.7233, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2601, root_relative_squared_error: 1.1189, scimark_benchmark: 947.7077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6784, kappa: 0.0394, kb_relative_information_score: 32.3626, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.61, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9749, scimark_benchmark: 938.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.6619, kappa: 0.071, kb_relative_information_score: -343.524, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6464, predictive_accuracy: 0.6796, prior_entropy: 1.1781, recall: 0.6796, relative_absolute_error: 1.9186, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3131, root_relative_squared_error: 1.3469, scimark_benchmark: 943.6726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7203, kappa: 0.1897, kb_relative_information_score: 54.7702, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7083, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9825, scimark_benchmark: 926.5523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.7204, kappa: 0.2034, kb_relative_information_score: -333.9403, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7074, predictive_accuracy: 0.7646, prior_entropy: 1.1781, recall: 0.7646, relative_absolute_error: 1.8997, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.3316, scimark_benchmark: 941.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.6941, kappa: 0.1047, kb_relative_information_score: -115.9436, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6621, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 1.2846, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2412, root_relative_squared_error: 1.0373, scimark_benchmark: 942.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6784, kappa: 0.0394, kb_relative_information_score: 32.3626, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.61, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9749, scimark_benchmark: 943.7176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4731, f_measure: 0.6701, kappa: -0.0081, kb_relative_information_score: 3.6171, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5949, predictive_accuracy: 0.767, prior_entropy: 1.1781, recall: 0.767, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2336, root_relative_squared_error: 1.0049, scimark_benchmark: 940.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.6725, kb_relative_information_score: -333.9599, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.8952, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.331, scimark_benchmark: 915.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.6668, kappa: 0.1009, kb_relative_information_score: -301.8245, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.652, predictive_accuracy: 0.7063, prior_entropy: 1.1781, recall: 0.7063, relative_absolute_error: 1.7366, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2865, root_relative_squared_error: 1.2325, scimark_benchmark: 938.0887,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.6725, kb_relative_information_score: -333.8809, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.8952, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.331, scimark_benchmark: 926.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.709, kappa: 0.166, kb_relative_information_score: 47.3609, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6834, predictive_accuracy: 0.7597, prior_entropy: 1.1781, recall: 0.7597, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2371, root_relative_squared_error: 1.0197, scimark_benchmark: 945.2977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.6975, kappa: 0.1408, kb_relative_information_score: 38.6025, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7822, predictive_accuracy: 0.7767, prior_entropy: 1.1781, recall: 0.7767, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9854, scimark_benchmark: 940.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.6941, kappa: 0.1047, kb_relative_information_score: -115.9436, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6621, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 1.2846, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2412, root_relative_squared_error: 1.0373, scimark_benchmark: 932.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.6677, kappa: 0.0007, kb_relative_information_score: 74.8907, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5986, predictive_accuracy: 0.7549, prior_entropy: 1.1781, recall: 0.7549, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2565, root_relative_squared_error: 1.1034, scimark_benchmark: 885.5093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.6976, kappa: 0.1432, kb_relative_information_score: 42.0144, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6727, predictive_accuracy: 0.7379, prior_entropy: 1.1781, recall: 0.7379, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2363, root_relative_squared_error: 1.0165, scimark_benchmark: 944.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6977, kappa: 0.1162, kb_relative_information_score: -226.6259, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7051, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 1.5109, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2576, root_relative_squared_error: 1.1081, scimark_benchmark: 947.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.7255, kappa: 0.2136, kb_relative_information_score: -335.3639, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7149, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 1.8976, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3093, root_relative_squared_error: 1.3305, scimark_benchmark: 915.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.7155, kappa: 0.1814, kb_relative_information_score: 33.7918, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6949, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2328, root_relative_squared_error: 1.0014, scimark_benchmark: 941.1921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.6619, kappa: 0.071, kb_relative_information_score: -343.524, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6464, predictive_accuracy: 0.6796, prior_entropy: 1.1781, recall: 0.6796, relative_absolute_error: 1.9186, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3131, root_relative_squared_error: 1.3469, scimark_benchmark: 942.6073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.6797, kappa: 0.075, kb_relative_information_score: 24.8433, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6553, predictive_accuracy: 0.7427, prior_entropy: 1.1781, recall: 0.7427, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2441, root_relative_squared_error: 1.0497, scimark_benchmark: 946.6284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.6824, kappa: 0.0811, kb_relative_information_score: -17.5958, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6486, predictive_accuracy: 0.733, prior_entropy: 1.1781, recall: 0.733, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2414, root_relative_squared_error: 1.0382, scimark_benchmark: 930.0878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.703, kappa: 0.1796, kb_relative_information_score: 22.7729, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6863, predictive_accuracy: 0.7233, prior_entropy: 1.1781, recall: 0.7233, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2601, root_relative_squared_error: 1.1189, scimark_benchmark: 930.1324,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.6668, kappa: 0.1009, kb_relative_information_score: -301.8245, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.652, predictive_accuracy: 0.7063, prior_entropy: 1.1781, recall: 0.7063, relative_absolute_error: 1.7366, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2865, root_relative_squared_error: 1.2325, scimark_benchmark: 916.0775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6977, kappa: 0.1162, kb_relative_information_score: -226.6259, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7051, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 1.5109, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2576, root_relative_squared_error: 1.1081, scimark_benchmark: 922.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.6984, kappa: 0.1253, kb_relative_information_score: 53.0851, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6667, predictive_accuracy: 0.7646, prior_entropy: 1.1781, recall: 0.7646, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9882, scimark_benchmark: 925.0775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7203, kappa: 0.1897, kb_relative_information_score: 54.7702, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7083, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9825, scimark_benchmark: 946.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7053, kappa: 0.1605, kb_relative_information_score: -84.7041, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6827, predictive_accuracy: 0.7451, prior_entropy: 1.1781, recall: 0.7451, relative_absolute_error: 1.233, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2397, root_relative_squared_error: 1.0309, scimark_benchmark: 945.7757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.6671, kappa: 0.0937, kb_relative_information_score: 16.5388, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6535, predictive_accuracy: 0.682, prior_entropy: 1.1781, recall: 0.682, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2624, root_relative_squared_error: 1.1287, scimark_benchmark: 581.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -276.2959, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.6594, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1977, scimark_benchmark: 935.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.6881, kappa: 0.0948, kb_relative_information_score: -250.5215, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6277, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 1.5631, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.1342, scimark_benchmark: 918.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.6725, kb_relative_information_score: -333.9599, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.8952, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.331, scimark_benchmark: 927.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.6725, kb_relative_information_score: -333.9599, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.8952, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.331, scimark_benchmark: 944.6183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.6987, kappa: 0.1227, kb_relative_information_score: -45.9936, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7066, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 1.0466, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2458, root_relative_squared_error: 1.0574, scimark_benchmark: 933.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, f_measure: 0.674, kappa: 0.0202, kb_relative_information_score: 26.4018, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5997, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9922, scimark_benchmark: 941.2342,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs