Task
Supervised Classification on fri_c2_100_25

Supervised Classification on fri_c2_100_25

Task 3641 Supervised Classification fri_c2_100_25 564 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: 0.7211, build_cpu_time: 0.1395, build_memory: 240723854.4, f_measure: 0.72, kappa: 0.4288, kb_relative_information_score: 30.9993, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9864, recall: 0.72, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9523, scimark_benchmark: 941.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, build_cpu_time: 0.2259, build_memory: 950514863.2, f_measure: 0.7406, kappa: 0.4726, kb_relative_information_score: 32.4322, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7419, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9387, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.9583, build_memory: 1388108073.6, f_measure: 0.7104, kappa: 0.4101, kb_relative_information_score: 31.8317, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7109, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.942, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, build_cpu_time: 0.1322, build_memory: 1899296258.4, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 48.2032, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7523, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, build_cpu_time: 0.0987, build_memory: 180162123.2, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 48.3473, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7536, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, build_cpu_time: 0.0397, build_memory: 2753291036.8, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 48.8856, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7469, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, build_cpu_time: 0.0214, build_memory: 1179512019.2, f_measure: 0.8492, kappa: 0.6914, kb_relative_information_score: 50.023, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7405, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, build_cpu_time: 0.0055, build_memory: 673989420, f_measure: 0.8106, kappa: 0.6157, kb_relative_information_score: 41.4672, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8127, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7991, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, build_cpu_time: 0.01, build_memory: 1177290086.4, f_measure: 0.84, kappa: 0.6736, kb_relative_information_score: 40.9475, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7758, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, build_cpu_time: 0.0204, build_memory: 2080904057.6, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 40.8178, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.757, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, build_cpu_time: 0.0419, build_memory: 510858014.4, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 39.4575, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7571, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, build_cpu_time: 0.0625, build_memory: 612201155.2, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 40.5211, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7486, scimark_benchmark: 945.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, build_cpu_time: 3.5086, build_memory: 2519457824, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 39.0335, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7498, scimark_benchmark: 937.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, build_cpu_time: 1.6787, build_memory: 684603152.8, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 38.8716, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7525, scimark_benchmark: 925.1595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, build_cpu_time: 0.9814, build_memory: 276424205.6, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 38.4922, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7556, scimark_benchmark: 938.1337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, build_cpu_time: 0.8958, build_memory: 970522292, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 38.4922, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7556, scimark_benchmark: 914.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, build_cpu_time: 0.4884, build_memory: 189810076, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 38.5635, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7566, scimark_benchmark: 913.2075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, build_cpu_time: 0.4255, build_memory: 1027629414.4, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 38.5635, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7566, scimark_benchmark: 899.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, build_cpu_time: 0.2238, build_memory: 1934235080.8, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 37.9852, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7617, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, build_cpu_time: 0.0063, build_memory: 1012809610.4, f_measure: 0.8209, kappa: 0.639, kb_relative_information_score: 51.9296, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8276, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7694, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, build_cpu_time: 0.0061, build_memory: 844930558.4, f_measure: 0.8209, kappa: 0.639, kb_relative_information_score: 51.9296, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8276, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7694, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, build_cpu_time: 0.0129, build_memory: 241407278.4, f_measure: 0.8302, kappa: 0.6542, kb_relative_information_score: 55.0702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8306, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.756, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, build_cpu_time: 0.023, build_memory: 816843809.6, f_measure: 0.8302, kappa: 0.6542, kb_relative_information_score: 53.0511, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8306, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7606, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, build_cpu_time: 0.0547, build_memory: 151891085.6, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 52.9052, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7569, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, build_cpu_time: 0.0588, build_memory: 917600686.4, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 52.9052, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7569, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, build_cpu_time: 0.062, build_memory: 188573819.2, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 52.9052, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7569, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, build_cpu_time: 0.0477, build_memory: 324363508, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 52.9052, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7569, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, build_cpu_time: 0.1516, build_memory: 837768450.4, f_measure: 0.8595, kappa: 0.7128, kb_relative_information_score: 43.665, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9864, recall: 0.86, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7352, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, build_cpu_time: 0.1205, build_memory: 180546132.8, f_measure: 0.8302, kappa: 0.6542, kb_relative_information_score: 53.3889, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8306, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7524, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, build_cpu_time: 0.1383, build_memory: 535791644, f_measure: 0.8302, kappa: 0.6542, kb_relative_information_score: 53.3889, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8306, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7524, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, build_cpu_time: 0.1282, build_memory: 372967264.8, f_measure: 0.8302, kappa: 0.6542, kb_relative_information_score: 53.3889, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8306, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7524, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, build_cpu_time: 0.0634, build_memory: 265486836.8, f_measure: 0.8097, kappa: 0.6113, kb_relative_information_score: 43.1853, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8096, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7783, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, build_cpu_time: 0.0622, build_memory: 461543121.6, f_measure: 0.8097, kappa: 0.6113, kb_relative_information_score: 43.1853, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8096, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7783, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, build_cpu_time: 0.0823, build_memory: 288686833.6, f_measure: 0.8097, kappa: 0.6113, kb_relative_information_score: 43.1853, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8096, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7783, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, build_cpu_time: 0.0889, build_memory: 1210813828.8, f_measure: 0.7793, kappa: 0.5486, kb_relative_information_score: 45.2633, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7792, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8331, scimark_benchmark: 905.0866,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, build_cpu_time: 0.0125, build_memory: 1197739865.6, f_measure: 0.8058, kappa: 0.6022, kb_relative_information_score: 62.503, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8159, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8128, scimark_benchmark: 939.6798,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, build_cpu_time: 0.005, build_memory: 318429540, f_measure: 0.8388, kappa: 0.6698, kb_relative_information_score: 48.8933, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7482, scimark_benchmark: 942.728,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, build_cpu_time: 0.9216, build_memory: 125967001.6, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 41.2173, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8021, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, build_cpu_time: 1.5891, build_memory: 1248287024, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 39.5047, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8073, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 3.236, build_memory: 2595505193.6, f_measure: 0.7903, kappa: 0.5728, kb_relative_information_score: 39.4126, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7907, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.809, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, build_cpu_time: 6.8333, build_memory: 64163460, f_measure: 0.8103, kappa: 0.6135, kb_relative_information_score: 39.6489, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.807, scimark_benchmark: 845.9233,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, build_cpu_time: 0.2445, build_memory: 1774162448.8, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 61.5544, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8062, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 0.1247, build_memory: 1291469307.2, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 61.4308, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8063, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, build_cpu_time: 0.0647, build_memory: 432067254.4, f_measure: 0.7993, kappa: 0.5897, kb_relative_information_score: 57.9958, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7993, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8384, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, build_cpu_time: 0.2747, build_memory: 469556113.6, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 48.2329, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7635, scimark_benchmark: 937.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, build_cpu_time: 0.6569, build_memory: 37033440, f_measure: 0.8492, kappa: 0.6914, kb_relative_information_score: 48.8323, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7547, scimark_benchmark: 918.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 0.2171, build_memory: 36844880, f_measure: 0.8492, kappa: 0.6914, kb_relative_information_score: 49.6898, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7505, scimark_benchmark: 946.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, build_cpu_time: 0.136, build_memory: 1269846959.2, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 48.4569, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7686, scimark_benchmark: 939.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, build_cpu_time: 0.0518, build_memory: 2562656243.2, f_measure: 0.8194, kappa: 0.6307, kb_relative_information_score: 48.1805, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8195, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7732, scimark_benchmark: 930.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, build_cpu_time: 0.0363, build_memory: 737108782.4, f_measure: 0.8291, kappa: 0.6502, kb_relative_information_score: 47.9689, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7788, scimark_benchmark: 932.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8291, kappa: 0.6502, kb_relative_information_score: 47.9689, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7788,

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