Task
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: 0.473, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.6763, kappa: 0.0351, kb_relative_information_score: 52.8603, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6219, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.6725, kb_relative_information_score: 5.636, mean_absolute_error: 0.1086, 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: 0.9838, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.6717, kappa: 0.0107, kb_relative_information_score: 0.8775, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6206, predictive_accuracy: 0.75, prior_entropy: 1.1781, recall: 0.75, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2373, root_relative_squared_error: 1.0206,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.6881, kappa: 0.0717, kb_relative_information_score: -236.0583, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6456, predictive_accuracy: 0.7549, prior_entropy: 1.1781, recall: 0.7549, relative_absolute_error: 1.5521, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2661, root_relative_squared_error: 1.1444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.669, kappa: 0.0992, kb_relative_information_score: 32.1958, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6569, predictive_accuracy: 0.682, prior_entropy: 1.1781, recall: 0.682, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2848, root_relative_squared_error: 1.2249,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.6735, kappa: 0.0218, kb_relative_information_score: 35.2292, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6018, predictive_accuracy: 0.7646, prior_entropy: 1.1781, recall: 0.7646, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.693, kappa: 0.1242, kb_relative_information_score: 43.5934, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7022, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6877, kappa: 0.1267, kb_relative_information_score: 38.3998, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6692, predictive_accuracy: 0.7112, prior_entropy: 1.1781, recall: 0.7112, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2537, root_relative_squared_error: 1.0912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.7009, kappa: 0.1478, kb_relative_information_score: 38.7175, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7848, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.6784, kappa: 0.0453, kb_relative_information_score: 39.1511, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6312, predictive_accuracy: 0.7573, prior_entropy: 1.1781, recall: 0.7573, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2383, root_relative_squared_error: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, f_measure: 0.7037, kappa: 0.1461, kb_relative_information_score: -331.515, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7916, predictive_accuracy: 0.784, prior_entropy: 1.1781, recall: 0.784, relative_absolute_error: 1.8937, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.3194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.705, kappa: 0.1513, kb_relative_information_score: 51.7277, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.677, predictive_accuracy: 0.7646, prior_entropy: 1.1781, recall: 0.7646, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.6722, kappa: 0.0052, kb_relative_information_score: 28.3427, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5968, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9804,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, f_measure: 0.6881, kappa: 0.0717, kb_relative_information_score: 39.063, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6456, predictive_accuracy: 0.7549, prior_entropy: 1.1781, recall: 0.7549, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2413, root_relative_squared_error: 1.0377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6915, kappa: 0.0642, kb_relative_information_score: 45.8484, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6726, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.6744, kappa: 0.006, kb_relative_information_score: 35.8997, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6347, predictive_accuracy: 0.767, prior_entropy: 1.1781, recall: 0.767, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2327, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.7042, kappa: 0.1592, kb_relative_information_score: 46.8798, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6829, predictive_accuracy: 0.7427, prior_entropy: 1.1781, recall: 0.7427, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2362, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6871, kappa: 0.0672, kb_relative_information_score: 16.3942, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6524, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2392, root_relative_squared_error: 1.0287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.6663, kappa: 0.1028, kb_relative_information_score: -13.0833, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6641, predictive_accuracy: 0.7063, prior_entropy: 1.1781, recall: 0.7063, relative_absolute_error: 1.0236, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2546, root_relative_squared_error: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.6977, kappa: 0.1162, kb_relative_information_score: -328.6559, mean_absolute_error: 0.2086, 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: 1.8901, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.6977, kappa: 0.1162, kb_relative_information_score: -221.9361, mean_absolute_error: 0.1658, 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: 1.5027, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2571, root_relative_squared_error: 1.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.667, kappa: 0.0982, kb_relative_information_score: -10.9661, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6503, predictive_accuracy: 0.7087, prior_entropy: 1.1781, recall: 0.7087, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2536, root_relative_squared_error: 1.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.6977, kappa: 0.1162, kb_relative_information_score: -329.907, mean_absolute_error: 0.2087, 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: 1.8913, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3086, root_relative_squared_error: 1.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.678, kappa: 0.1328, kb_relative_information_score: -1.0622, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6355, predictive_accuracy: 0.7282, prior_entropy: 1.1781, recall: 0.7282, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2445, root_relative_squared_error: 1.0516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7059, kappa: 0.193, kb_relative_information_score: 29.7113, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6867, predictive_accuracy: 0.7282, prior_entropy: 1.1781, recall: 0.7282, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2403, root_relative_squared_error: 1.0336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, f_measure: 0.7037, kappa: 0.1392, kb_relative_information_score: 29.1271, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.677, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2421, root_relative_squared_error: 1.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.6977, kappa: 0.1162, kb_relative_information_score: -328.1594, mean_absolute_error: 0.2085, 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: 1.8898, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3082, root_relative_squared_error: 1.3258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.699, kappa: 0.1464, kb_relative_information_score: 113.6827, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6314, predictive_accuracy: 0.784, prior_entropy: 1.1781, recall: 0.784, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2484, root_relative_squared_error: 1.0686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.699, kappa: 0.1464, kb_relative_information_score: 113.6827, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6314, predictive_accuracy: 0.784, prior_entropy: 1.1781, recall: 0.784, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2484, root_relative_squared_error: 1.0686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.699, kappa: 0.1464, kb_relative_information_score: 113.6827, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6314, predictive_accuracy: 0.784, prior_entropy: 1.1781, recall: 0.784, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2484, root_relative_squared_error: 1.0686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.699, kappa: 0.1464, kb_relative_information_score: 113.6827, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6314, predictive_accuracy: 0.784, prior_entropy: 1.1781, recall: 0.784, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2484, root_relative_squared_error: 1.0686,
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: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6902, kappa: 0.1129, kb_relative_information_score: 38.1117, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6606, predictive_accuracy: 0.733, prior_entropy: 1.1781, recall: 0.733, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2373, root_relative_squared_error: 1.0208, scimark_benchmark: 851.2074, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7013, kappa: 0.1579, kb_relative_information_score: 50.8675, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6778, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9775, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7013, kappa: 0.1579, kb_relative_information_score: 50.8675, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6778, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9775, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7013, kappa: 0.1579, kb_relative_information_score: 50.8675, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6778, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9775, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.7179, kappa: 0.1867, kb_relative_information_score: 57.3303, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7643, predictive_accuracy: 0.7864, prior_entropy: 1.1781, recall: 0.7864, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9727, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7013, kappa: 0.1579, kb_relative_information_score: 50.8675, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6778, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9775, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.7073, kappa: 0.1652, kb_relative_information_score: 45.8075, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6853, predictive_accuracy: 0.7476, prior_entropy: 1.1781, recall: 0.7476, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2363, root_relative_squared_error: 1.0166, scimark_benchmark: 931.771, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6877, kappa: 0.1141, kb_relative_information_score: 50.0095, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6437, predictive_accuracy: 0.7573, prior_entropy: 1.1781, recall: 0.7573, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9911, scimark_benchmark: 936.3373, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.6944, kappa: 0.067, kb_relative_information_score: 101.8743, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7569, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 0.5656, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2498, root_relative_squared_error: 1.0746, scimark_benchmark: 1325.7874, usercpu_time_millis: 320, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6877, kappa: 0.1141, kb_relative_information_score: 50.0095, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6437, predictive_accuracy: 0.7573, prior_entropy: 1.1781, recall: 0.7573, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9911, scimark_benchmark: 1332.9478, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
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: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7013, kappa: 0.1579, kb_relative_information_score: 50.8675, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6778, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9775, scimark_benchmark: 1303.5632,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7013, kappa: 0.1579, kb_relative_information_score: 50.8675, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6778, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9775, scimark_benchmark: 1349.1517,
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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: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.6968, kappa: 0.1336, kb_relative_information_score: 44.5141, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7086, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9828, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7013, kappa: 0.1579, kb_relative_information_score: 50.8675, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6778, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9775, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7013, kappa: 0.1579, kb_relative_information_score: 50.8675, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6778, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9775, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7013, kappa: 0.1579, kb_relative_information_score: 50.8675, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6778, predictive_accuracy: 0.7743, prior_entropy: 1.1781, recall: 0.7743, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9775, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.6968, kappa: 0.1336, kb_relative_information_score: 44.5141, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7086, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9828, scimark_benchmark: 1317.5857,

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