Task
Supervised Classification on fri_c4_250_25

Supervised Classification on fri_c4_250_25

Task 4501 Supervised Classification fri_c4_250_25 216 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 1.1023, build_memory: 1090742061.12, f_measure: 0.8614, kappa: 0.7204, kb_relative_information_score: 1797.0489, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8616, prior_entropy: 0.9945, recall: 0.8616, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7385, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 1.1119, build_memory: 1121943408, f_measure: 0.8614, kappa: 0.7204, kb_relative_information_score: 1797.0489, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8616, prior_entropy: 0.9945, recall: 0.8616, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7385, scimark_benchmark: 940.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 1.4094, build_memory: 613451844.72, f_measure: 0.8614, kappa: 0.7204, kb_relative_information_score: 1797.0489, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8616, prior_entropy: 0.9945, recall: 0.8616, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7385, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, build_cpu_time: 0.5333, build_memory: 1013618270.8, f_measure: 0.8571, kappa: 0.7117, kb_relative_information_score: 1780.5935, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8571, predictive_accuracy: 0.8572, prior_entropy: 0.9945, recall: 0.8572, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7396, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, build_cpu_time: 0.547, build_memory: 947722035.84, f_measure: 0.8571, kappa: 0.7117, kb_relative_information_score: 1780.5935, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8571, predictive_accuracy: 0.8572, prior_entropy: 0.9945, recall: 0.8572, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7396, scimark_benchmark: 936.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, build_cpu_time: 0.5559, build_memory: 66845115.2, f_measure: 0.8571, kappa: 0.7117, kb_relative_information_score: 1780.5935, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8571, predictive_accuracy: 0.8572, prior_entropy: 0.9945, recall: 0.8572, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7396, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, build_cpu_time: 0.562, build_memory: 907994660.64, f_measure: 0.8571, kappa: 0.7117, kb_relative_information_score: 1780.5935, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8571, predictive_accuracy: 0.8572, prior_entropy: 0.9945, recall: 0.8572, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7396, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, build_cpu_time: 0.5588, build_memory: 971011823.36, f_measure: 0.8571, kappa: 0.7117, kb_relative_information_score: 1780.5935, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8571, predictive_accuracy: 0.8572, prior_entropy: 0.9945, recall: 0.8572, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7396, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, build_cpu_time: 1.2171, build_memory: 2340206819.76, f_measure: 0.8369, kappa: 0.6707, kb_relative_information_score: 1312.5262, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8372, predictive_accuracy: 0.8372, prior_entropy: 0.9945, recall: 0.8372, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6656, scimark_benchmark: 941.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, build_cpu_time: 0.2632, build_memory: 1426819672.64, f_measure: 0.8467, kappa: 0.691, kb_relative_information_score: 1727.4351, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8467, predictive_accuracy: 0.8468, prior_entropy: 0.9945, recall: 0.8468, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7541, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, build_cpu_time: 0.2693, build_memory: 940883869.84, f_measure: 0.8467, kappa: 0.691, kb_relative_information_score: 1727.4351, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8467, predictive_accuracy: 0.8468, prior_entropy: 0.9945, recall: 0.8468, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7541, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, build_cpu_time: 2.1753, build_memory: 1218599442.48, f_measure: 0.8601, kappa: 0.7178, kb_relative_information_score: 1793.621, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9945, recall: 0.8604, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7444, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, build_cpu_time: 2.3276, build_memory: 1332564456.08, f_measure: 0.8601, kappa: 0.7178, kb_relative_information_score: 1793.621, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9945, recall: 0.8604, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7444, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, build_cpu_time: 4.3996, build_memory: 1363077426.8, f_measure: 0.8556, kappa: 0.7085, kb_relative_information_score: 1774.0718, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9945, recall: 0.856, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7574, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, build_cpu_time: 0.2115, build_memory: 2897041464.32, f_measure: 0.8431, kappa: 0.6833, kb_relative_information_score: 1423.8303, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8438, predictive_accuracy: 0.8436, prior_entropy: 0.9945, recall: 0.8436, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6602, scimark_benchmark: 943.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, build_cpu_time: 0.0836, build_memory: 3624299227.2, f_measure: 0.8376, kappa: 0.6722, kb_relative_information_score: 1420.9431, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9945, recall: 0.838, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.668, scimark_benchmark: 933.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, build_cpu_time: 2.4308, build_memory: 429493463.6, f_measure: 0.8364, kappa: 0.6696, kb_relative_information_score: 1311.8047, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8369, predictive_accuracy: 0.8368, prior_entropy: 0.9945, recall: 0.8368, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6652, scimark_benchmark: 920.4267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, build_cpu_time: 0.3604, build_memory: 2147045089.68, f_measure: 0.8431, kappa: 0.6833, kb_relative_information_score: 1434.2709, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8438, predictive_accuracy: 0.8436, prior_entropy: 0.9945, recall: 0.8436, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6537, scimark_benchmark: 894.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, build_cpu_time: 0.6672, build_memory: 701255028.96, f_measure: 0.8447, kappa: 0.6864, kb_relative_information_score: 1435.3124, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8455, predictive_accuracy: 0.8452, prior_entropy: 0.9945, recall: 0.8452, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6525, scimark_benchmark: 943.0615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8302, kappa: 0.6575, kb_relative_information_score: 1490.3069, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9945, recall: 0.8304, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7382, scimark_benchmark: 916.5769, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8442, kappa: 0.6869, kb_relative_information_score: 1493.7766, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8455, predictive_accuracy: 0.844, prior_entropy: 0.9945, recall: 0.844, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7063, scimark_benchmark: 1302.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.837, kappa: 0.672, kb_relative_information_score: 1523.1934, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8377, predictive_accuracy: 0.8368, prior_entropy: 0.9945, recall: 0.8368, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6924, scimark_benchmark: 1123.855, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.837, kappa: 0.672, kb_relative_information_score: 1523.1934, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8377, predictive_accuracy: 0.8368, prior_entropy: 0.9945, recall: 0.8368, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6924, scimark_benchmark: 1327.2954, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.5965, kappa: 0.1868, kb_relative_information_score: 387.8577, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.5965, predictive_accuracy: 0.5964, prior_entropy: 0.9945, recall: 0.5964, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9895, scimark_benchmark: 1320.9026, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8442, kappa: 0.6869, kb_relative_information_score: 1493.7766, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8455, predictive_accuracy: 0.844, prior_entropy: 0.9945, recall: 0.844, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7063, scimark_benchmark: 942.2229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8332, kappa: 0.6637, kb_relative_information_score: 1352.2434, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8331, predictive_accuracy: 0.8332, prior_entropy: 0.9945, recall: 0.8332, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6942, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8302, kappa: 0.6575, kb_relative_information_score: 1490.3069, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9945, recall: 0.8304, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7382, scimark_benchmark: 940.3347, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.6927, kappa: 0.3812, kb_relative_information_score: 944.7301, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6931, predictive_accuracy: 0.6924, prior_entropy: 0.9945, recall: 0.6924, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1136, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8335, kappa: 0.6642, kb_relative_information_score: 1588.1161, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8335, predictive_accuracy: 0.8336, prior_entropy: 0.9945, recall: 0.8336, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7304, scimark_benchmark: 915.6729, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.3833, kb_relative_information_score: -0.751, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0002, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8262, kappa: 0.6493, kb_relative_information_score: 1459.2967, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8262, predictive_accuracy: 0.8264, prior_entropy: 0.9945, recall: 0.8264, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7077, scimark_benchmark: 1330.0694, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8258, kappa: 0.6486, kb_relative_information_score: 1524.0679, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8258, predictive_accuracy: 0.826, prior_entropy: 0.9945, recall: 0.826, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7175, scimark_benchmark: 942.6843, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.781, kappa: 0.558, kb_relative_information_score: 1356.141, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.7813, predictive_accuracy: 0.7816, prior_entropy: 0.9945, recall: 0.7816, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8976, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8369, kappa: 0.6715, kb_relative_information_score: 1446.6943, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8371, predictive_accuracy: 0.8368, prior_entropy: 0.9945, recall: 0.8368, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7557, scimark_benchmark: 1318.1432, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2856, kb_relative_information_score: -250.372, mean_absolute_error: 0.544, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.2079, predictive_accuracy: 0.456, prior_entropy: 0.9945, recall: 0.456, relative_absolute_error: 1.0964, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.7376, root_relative_squared_error: 1.4809, scimark_benchmark: 1317.1452, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.6222, kappa: 0.238, kb_relative_information_score: 590.8504, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.622, predictive_accuracy: 0.6224, prior_entropy: 0.9945, recall: 0.6224, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6145, root_relative_squared_error: 1.2338, scimark_benchmark: 1354.2491, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.837, kappa: 0.672, kb_relative_information_score: 1523.1934, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8377, predictive_accuracy: 0.8368, prior_entropy: 0.9945, recall: 0.8368, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6924, scimark_benchmark: 899.5042, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8125, kappa: 0.6214, kb_relative_information_score: 978.0364, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8146, predictive_accuracy: 0.8136, prior_entropy: 0.9945, recall: 0.8136, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7315, scimark_benchmark: 1332.6319, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6439, kappa: 0.2816, kb_relative_information_score: 515.8219, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6437, predictive_accuracy: 0.6444, prior_entropy: 0.9945, recall: 0.6444, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0208, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8224, kappa: 0.6415, kb_relative_information_score: 1521.9428, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8227, predictive_accuracy: 0.8228, prior_entropy: 0.9945, recall: 0.8228, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7259, scimark_benchmark: 1307.4861, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7513, kappa: 0.4984, kb_relative_information_score: 1161.3017, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.7512, predictive_accuracy: 0.7516, prior_entropy: 0.9945, recall: 0.7516, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9395, scimark_benchmark: 912.5006, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8332, kappa: 0.6637, kb_relative_information_score: 1352.2434, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8331, predictive_accuracy: 0.8332, prior_entropy: 0.9945, recall: 0.8332, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6942, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.7491, kappa: 0.5001, kb_relative_information_score: 865.8482, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.7573, predictive_accuracy: 0.7488, prior_entropy: 0.9945, recall: 0.7488, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8625, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8546, kappa: 0.7075, kb_relative_information_score: 1654.0286, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8554, predictive_accuracy: 0.8544, prior_entropy: 0.9945, recall: 0.8544, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7149, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8351, kappa: 0.6675, kb_relative_information_score: 1285.8826, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8351, predictive_accuracy: 0.8352, prior_entropy: 0.9945, recall: 0.8352, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6733, scimark_benchmark: 942.6843, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8303, kappa: 0.6578, kb_relative_information_score: 1281.2201, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8303, predictive_accuracy: 0.8304, prior_entropy: 0.9945, recall: 0.8304, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6785, scimark_benchmark: 1304.9611, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8222, kappa: 0.6412, kb_relative_information_score: 1363.0267, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8222, predictive_accuracy: 0.8224, prior_entropy: 0.9945, recall: 0.8224, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7119, scimark_benchmark: 1369.9744, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8288, kappa: 0.655, kb_relative_information_score: 1213.1011, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8288, predictive_accuracy: 0.8288, prior_entropy: 0.9945, recall: 0.8288, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7077, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.5892, kappa: 0.1714, kb_relative_information_score: 300.2974, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.5889, predictive_accuracy: 0.5896, prior_entropy: 0.9945, recall: 0.5896, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0131, scimark_benchmark: 937.1527, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.6106, kappa: 0.2143, kb_relative_information_score: 420.8959, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6103, predictive_accuracy: 0.6112, prior_entropy: 0.9945, recall: 0.6112, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.035, scimark_benchmark: 942.9518, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8317, kappa: 0.6604, kb_relative_information_score: 1396.6295, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8319, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.687, scimark_benchmark: 1336.3256, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3833, kb_relative_information_score: 194.5052, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3558, scimark_benchmark: 1325.2092, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.6188, kappa: 0.2318, kb_relative_information_score: 572.6509, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6189, predictive_accuracy: 0.6188, prior_entropy: 0.9945, recall: 0.6188, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6174, root_relative_squared_error: 1.2396, scimark_benchmark: 1287.514, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.5547, kappa: 0.101, kb_relative_information_score: 269.3255, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.5547, predictive_accuracy: 0.5588, prior_entropy: 0.9945, recall: 0.5588, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6642, root_relative_squared_error: 1.3336, scimark_benchmark: 1312.3073, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.6789, kappa: 0.3529, kb_relative_information_score: 868.1954, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.679, predictive_accuracy: 0.6788, prior_entropy: 0.9945, recall: 0.6788, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0816, scimark_benchmark: 1368.9272, usercpu_time_millis: 3660, usercpu_time_millis_testing: 3660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8332, kappa: 0.6637, kb_relative_information_score: 1352.2434, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8331, predictive_accuracy: 0.8332, prior_entropy: 0.9945, recall: 0.8332, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6942, scimark_benchmark: 1340.1351, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.4407, kappa: 0.0327, kb_relative_information_score: -27.1171, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.5328, predictive_accuracy: 0.4904, prior_entropy: 0.9945, recall: 0.4904, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0035, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.6638, kappa: 0.3215, kb_relative_information_score: 574.0063, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6636, predictive_accuracy: 0.6644, prior_entropy: 0.9945, recall: 0.6644, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9612, scimark_benchmark: 1319.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.5936, kappa: 0.1817, kb_relative_information_score: 443.2321, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.5941, predictive_accuracy: 0.5932, prior_entropy: 0.9945, recall: 0.5932, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6378, root_relative_squared_error: 1.2806, scimark_benchmark: 1344.7246, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.8265, kappa: 0.6499, kb_relative_information_score: 1477.7092, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8266, predictive_accuracy: 0.8268, prior_entropy: 0.9945, recall: 0.8268, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7879, scimark_benchmark: 1333.1945, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7934, kappa: 0.5829, kb_relative_information_score: 1399.4784, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.7938, predictive_accuracy: 0.794, prior_entropy: 0.9945, recall: 0.794, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7284, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7934, kappa: 0.5829, kb_relative_information_score: 1399.4784, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.7938, predictive_accuracy: 0.794, prior_entropy: 0.9945, recall: 0.794, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7284, scimark_benchmark: 1333.202,

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