Task
Supervised Classification on fri_c2_500_25

Supervised Classification on fri_c2_500_25

Task 3743 Supervised Classification fri_c2_500_25 616 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, build_cpu_time: 613.4113, build_memory: 110183540, f_measure: 0.8585, kappa: 0.7009, kb_relative_information_score: 349.4339, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9664, recall: 0.86, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7565, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, build_cpu_time: 90.0341, build_memory: 450122958.4, f_measure: 0.8891, kappa: 0.7661, kb_relative_information_score: 379.6565, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9664, recall: 0.89, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6786, scimark_benchmark: 943.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, build_cpu_time: 45.865, build_memory: 1064619887.2, f_measure: 0.8873, kappa: 0.7625, kb_relative_information_score: 377.7828, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8877, predictive_accuracy: 0.888, prior_entropy: 0.9664, recall: 0.888, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6836, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, build_cpu_time: 21.4701, build_memory: 102532294.4, f_measure: 0.8932, kappa: 0.7746, kb_relative_information_score: 384.3971, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.894, predictive_accuracy: 0.894, prior_entropy: 0.9664, recall: 0.894, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6593, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, build_cpu_time: 10.74, build_memory: 634521357.6, f_measure: 0.8736, kappa: 0.734, kb_relative_information_score: 363.9845, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8735, predictive_accuracy: 0.874, prior_entropy: 0.9664, recall: 0.874, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7022, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, build_cpu_time: 5.1238, build_memory: 94537849.6, f_measure: 0.8486, kappa: 0.6804, kb_relative_information_score: 337.3979, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8494, predictive_accuracy: 0.85, prior_entropy: 0.9664, recall: 0.85, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7562, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, build_cpu_time: 1.0837, build_memory: 987198442.4, f_measure: 0.8657, kappa: 0.7176, kb_relative_information_score: 350.554, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8655, predictive_accuracy: 0.866, prior_entropy: 0.9664, recall: 0.866, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.703, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, build_cpu_time: 2.2442, build_memory: 291704441.6, f_measure: 0.8795, kappa: 0.7464, kb_relative_information_score: 364.815, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8795, predictive_accuracy: 0.88, prior_entropy: 0.9664, recall: 0.88, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6793, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, build_cpu_time: 4.6529, build_memory: 165307833.6, f_measure: 0.8653, kappa: 0.7161, kb_relative_information_score: 354.5579, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8654, predictive_accuracy: 0.866, prior_entropy: 0.9664, recall: 0.866, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7217, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, build_cpu_time: 8.2758, build_memory: 1178103438.4, f_measure: 0.8708, kappa: 0.727, kb_relative_information_score: 363.6372, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 0.9664, recall: 0.872, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7196, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, build_cpu_time: 18.0031, build_memory: 683642801.6, f_measure: 0.8851, kappa: 0.7575, kb_relative_information_score: 378.565, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8859, predictive_accuracy: 0.886, prior_entropy: 0.9664, recall: 0.886, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6796, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 4.8813, build_memory: 387762346.4, f_measure: 0.8704, kappa: 0.726, kb_relative_information_score: 362.637, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8725, predictive_accuracy: 0.872, prior_entropy: 0.9664, recall: 0.872, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7217, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, build_cpu_time: 1.6501, build_memory: 127907460, f_measure: 0.8832, kappa: 0.7535, kb_relative_information_score: 371.7782, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9664, recall: 0.884, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6935, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, build_cpu_time: 0.958, build_memory: 683904068.8, f_measure: 0.8751, kappa: 0.7365, kb_relative_information_score: 357.3106, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8757, predictive_accuracy: 0.876, prior_entropy: 0.9664, recall: 0.876, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.344, root_relative_squared_error: 0.7045, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, build_cpu_time: 0.4409, build_memory: 397358451.2, f_measure: 0.8365, kappa: 0.6548, kb_relative_information_score: 328.3754, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8371, predictive_accuracy: 0.838, prior_entropy: 0.9664, recall: 0.838, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7453, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, build_cpu_time: 0.2673, build_memory: 1242830365.6, f_measure: 0.8577, kappa: 0.7007, kb_relative_information_score: 349.1995, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8575, predictive_accuracy: 0.858, prior_entropy: 0.9664, recall: 0.858, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7387, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, build_cpu_time: 0.5407, build_memory: 359462250.4, f_measure: 0.8709, kappa: 0.7275, kb_relative_information_score: 363.2133, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8717, predictive_accuracy: 0.872, prior_entropy: 0.9664, recall: 0.872, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7157, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, build_cpu_time: 1.0989, build_memory: 810244469.6, f_measure: 0.8847, kappa: 0.7562, kb_relative_information_score: 377.0212, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8867, predictive_accuracy: 0.886, prior_entropy: 0.9664, recall: 0.886, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6882, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, build_cpu_time: 2.2584, build_memory: 1715256285.6, f_measure: 0.8926, kappa: 0.7729, kb_relative_information_score: 384.7971, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8954, predictive_accuracy: 0.894, prior_entropy: 0.9664, recall: 0.894, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6666, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, build_cpu_time: 4.4706, build_memory: 1335015049.6, f_measure: 0.8763, kappa: 0.7381, kb_relative_information_score: 368.9984, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8793, predictive_accuracy: 0.878, prior_entropy: 0.9664, recall: 0.878, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7155, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, build_cpu_time: 0.0668, build_memory: 251343409.6, f_measure: 0.5921, kappa: 0.1384, kb_relative_information_score: 67.1826, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.5897, predictive_accuracy: 0.596, prior_entropy: 0.9664, recall: 0.596, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6342, root_relative_squared_error: 1.2991, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, build_cpu_time: 0.048, build_memory: 918257813.6, f_measure: 0.5921, kappa: 0.1384, kb_relative_information_score: 67.1826, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.5897, predictive_accuracy: 0.596, prior_entropy: 0.9664, recall: 0.596, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6342, root_relative_squared_error: 1.2991, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, build_cpu_time: 0.0864, build_memory: 59234516, f_measure: 0.5921, kappa: 0.1384, kb_relative_information_score: 67.1826, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.5897, predictive_accuracy: 0.596, prior_entropy: 0.9664, recall: 0.596, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6342, root_relative_squared_error: 1.2991, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, build_cpu_time: 0.3297, build_memory: 120702419.2, f_measure: 0.8973, kappa: 0.7835, kb_relative_information_score: 347.8033, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8979, predictive_accuracy: 0.898, prior_entropy: 0.9664, recall: 0.898, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.5795, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, build_cpu_time: 0.7147, build_memory: 71351596, f_measure: 0.8975, kappa: 0.7843, kb_relative_information_score: 363.4565, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8977, predictive_accuracy: 0.898, prior_entropy: 0.9664, recall: 0.898, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5853, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, build_cpu_time: 5.1187, build_memory: 1284942451.2, f_measure: 0.8847, kappa: 0.7562, kb_relative_information_score: 379.2418, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8867, predictive_accuracy: 0.886, prior_entropy: 0.9664, recall: 0.886, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6771, scimark_benchmark: 919.1717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, build_cpu_time: 2.4751, build_memory: 780177599.2, f_measure: 0.8729, kappa: 0.7315, kb_relative_information_score: 365.0444, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9664, recall: 0.874, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7139, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, build_cpu_time: 1.327, build_memory: 1509531887.2, f_measure: 0.8621, kappa: 0.7083, kb_relative_information_score: 349.2998, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8646, predictive_accuracy: 0.864, prior_entropy: 0.9664, recall: 0.864, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7413, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, build_cpu_time: 0.6757, build_memory: 622690884, f_measure: 0.8596, kappa: 0.7027, kb_relative_information_score: 338.8315, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8636, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7368, scimark_benchmark: 930.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, build_cpu_time: 0.4408, build_memory: 557586353.6, f_measure: 0.6068, kappa: 0.1772, kb_relative_information_score: 53.0676, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6078, predictive_accuracy: 0.606, prior_entropy: 0.9664, recall: 0.606, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9938, scimark_benchmark: 947.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, build_cpu_time: 0.6783, build_memory: 1122732356, f_measure: 0.8621, kappa: 0.7108, kb_relative_information_score: 342.5255, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.7103, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, build_cpu_time: 0.0139, build_memory: 1489834888.8, f_measure: 0.8426, kappa: 0.6712, kb_relative_information_score: 293.4928, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8437, predictive_accuracy: 0.842, prior_entropy: 0.9664, recall: 0.842, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7066, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, build_cpu_time: 0.2225, build_memory: 512824016, f_measure: 0.845, kappa: 0.6716, kb_relative_information_score: 223.4284, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8497, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6949, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, build_cpu_time: 0.071, build_memory: 269811075.2, f_measure: 0.8463, kappa: 0.6752, kb_relative_information_score: 298.7638, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8476, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7444, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, build_cpu_time: 0.0002, build_memory: 718927510.4, f_measure: 0.5921, kappa: 0.1384, kb_relative_information_score: 67.1826, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.5897, predictive_accuracy: 0.596, prior_entropy: 0.9664, recall: 0.596, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6342, root_relative_squared_error: 1.2991, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.1139, build_memory: 826604632, f_measure: 0.4598, kb_relative_information_score: 80.3424, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9664, recall: 0.608, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, build_cpu_time: 0.0287, build_memory: 585560427.2, f_measure: 0.6298, kappa: 0.2173, kb_relative_information_score: 108.1675, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6277, predictive_accuracy: 0.634, prior_entropy: 0.9664, recall: 0.634, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2392, scimark_benchmark: 943.1817,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, build_cpu_time: 0.0125, build_memory: 959704056.8, f_measure: 0.75, kappa: 0.4817, kb_relative_information_score: 134.2957, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7548, predictive_accuracy: 0.748, prior_entropy: 0.9664, recall: 0.748, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8689, scimark_benchmark: 939.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, build_cpu_time: 0.8953, build_memory: 331212791.2, f_measure: 0.6139, kappa: 0.1805, kb_relative_information_score: 69.7059, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6132, predictive_accuracy: 0.626, prior_entropy: 0.9664, recall: 0.626, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0175, scimark_benchmark: 941.326,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, build_cpu_time: 0.0037, build_memory: 1621250513.6, f_measure: 0.7431, kappa: 0.4641, kb_relative_information_score: 129.7421, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.745, predictive_accuracy: 0.742, prior_entropy: 0.9664, recall: 0.742, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8763, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, build_cpu_time: 3.5312, build_memory: 2590457290.4, f_measure: 0.8483, kappa: 0.6792, kb_relative_information_score: 305.1039, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9664, recall: 0.85, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6368, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 6.6151, build_memory: 413084972, f_measure: 0.8772, kappa: 0.741, kb_relative_information_score: 313.4823, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8776, predictive_accuracy: 0.878, prior_entropy: 0.9664, recall: 0.878, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.6073, scimark_benchmark: 930.9195,

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