Task
Supervised Classification on fri_c1_250_25

Supervised Classification on fri_c1_250_25

Task 3612 Supervised Classification fri_c1_250_25 558 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: 0.9118, build_cpu_time: 1.2669, build_memory: 141163354.4, f_measure: 0.8919, kappa: 0.7792, kb_relative_information_score: 193.4534, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6609, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, build_cpu_time: 0.7137, build_memory: 513852576, f_measure: 0.8959, kappa: 0.7871, kb_relative_information_score: 157.3114, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9852, recall: 0.896, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5845, scimark_benchmark: 934.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, build_cpu_time: 0.0331, build_memory: 1382152272, f_measure: 0.8318, kappa: 0.6561, kb_relative_information_score: 161.5789, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8317, predictive_accuracy: 0.832, prior_entropy: 0.9852, recall: 0.832, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7681, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, build_cpu_time: 0.0968, build_memory: 996084394.4, f_measure: 0.871, kappa: 0.7355, kb_relative_information_score: 99.4625, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.873, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7177, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, build_cpu_time: 0.0865, build_memory: 312085136.8, f_measure: 0.871, kappa: 0.7355, kb_relative_information_score: 99.4625, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.873, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7177, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, build_cpu_time: 0.0465, build_memory: 3067624622.4, f_measure: 0.6218, kappa: 0.2248, kb_relative_information_score: 43.8839, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6209, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0387, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, build_cpu_time: 0.044, build_memory: 650003788.8, f_measure: 0.6218, kappa: 0.2248, kb_relative_information_score: 43.8839, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6209, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0387, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, build_cpu_time: 0.0401, build_memory: 438764877.6, f_measure: 0.6218, kappa: 0.2248, kb_relative_information_score: 43.8839, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6209, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0387, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, build_cpu_time: 0.0422, build_memory: 1617965369.6, f_measure: 0.6218, kappa: 0.2248, kb_relative_information_score: 43.8839, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6209, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0387, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, build_cpu_time: 0.0147, build_memory: 473988135.2, f_measure: 0.7961, kappa: 0.5839, kb_relative_information_score: 137.395, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7963, predictive_accuracy: 0.796, prior_entropy: 0.9852, recall: 0.796, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8146, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, build_cpu_time: 0.0356, build_memory: 1834074699.2, f_measure: 0.6255, kappa: 0.2321, kb_relative_information_score: 43.257, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6247, predictive_accuracy: 0.628, prior_entropy: 0.9852, recall: 0.628, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.037, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, build_cpu_time: 0.0928, build_memory: 454393988, f_measure: 0.8676, kappa: 0.7288, kb_relative_information_score: 177.1003, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8678, predictive_accuracy: 0.868, prior_entropy: 0.9852, recall: 0.868, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.726, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, build_cpu_time: 0.1701, build_memory: 1228389949.6, f_measure: 0.8437, kappa: 0.6803, kb_relative_information_score: 169.2381, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8436, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7775, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, build_cpu_time: 0.2402, build_memory: 511408138.4, f_measure: 0.8554, kappa: 0.7038, kb_relative_information_score: 175.6737, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7528, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8915, kappa: 0.7776, kb_relative_information_score: 194.1254, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6589, scimark_benchmark: 943.6956, usercpu_time_millis: 1120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 901.0726, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 917.7039, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8632, kappa: 0.7196, kb_relative_information_score: 67.4359, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8642, predictive_accuracy: 0.864, prior_entropy: 0.9852, recall: 0.864, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.807, scimark_benchmark: 918.4924, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8593, kappa: 0.7117, kb_relative_information_score: 174.0454, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7238, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.5823, kappa: 0.1443, kb_relative_information_score: 35.6811, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5812, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3035, scimark_benchmark: 799.2185, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 904.3001, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8522, kappa: 0.6988, kb_relative_information_score: 165.3753, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8527, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7523, scimark_benchmark: 947.0793, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8915, kappa: 0.7776, kb_relative_information_score: 194.4633, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6615, scimark_benchmark: 831.3777, usercpu_time_millis: 2680, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8271, kappa: 0.6458, kb_relative_information_score: 112.317, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7391, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8484, kappa: 0.6917, kb_relative_information_score: 119.252, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8499, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7004, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7834, kappa: 0.5568, kb_relative_information_score: 120.9258, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7833, predictive_accuracy: 0.784, prior_entropy: 0.9852, recall: 0.784, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7664, scimark_benchmark: 930.32, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, build_cpu_time: 0.076, build_memory: 1364877212.8, f_measure: 0.6175, kappa: 0.2156, kb_relative_information_score: 31.9086, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6165, predictive_accuracy: 0.62, prior_entropy: 0.9852, recall: 0.62, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0251, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 140.7134, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7263, scimark_benchmark: 904.3001, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9079, kappa: 0.8119, kb_relative_information_score: 196.5625, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9852, recall: 0.908, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.611, scimark_benchmark: 935.8986, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.5623, kappa: 0.118, kb_relative_information_score: 18.5457, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5691, predictive_accuracy: 0.56, prior_entropy: 0.9852, recall: 0.56, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0295, scimark_benchmark: 947.0793, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4163, kb_relative_information_score: -0.093, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.6123, kappa: 0.2042, kb_relative_information_score: 19.3604, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6136, predictive_accuracy: 0.62, prior_entropy: 0.9852, recall: 0.62, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9633, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 0.5344, build_memory: 1055026798.4, f_measure: 0.8919, kappa: 0.7792, kb_relative_information_score: 192.7756, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6443, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 0.5747, build_memory: 1228414821.6, f_measure: 0.8919, kappa: 0.7792, kb_relative_information_score: 192.7756, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6443, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 0.6244, build_memory: 229093476, f_measure: 0.8919, kappa: 0.7792, kb_relative_information_score: 192.7756, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6443, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, build_cpu_time: 2.2243, build_memory: 1080847770.4, f_measure: 0.8797, kappa: 0.7538, kb_relative_information_score: 188.3736, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9852, recall: 0.88, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6953, scimark_benchmark: 944.0892,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, build_cpu_time: 0.0004, build_memory: 38119520, f_measure: 0.5814, kappa: 0.1492, kb_relative_information_score: 33.3623, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5837, predictive_accuracy: 0.58, prior_entropy: 0.9852, recall: 0.58, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6452, root_relative_squared_error: 1.304, scimark_benchmark: 875.7999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, build_cpu_time: 1.0778, build_memory: 709589691.2, f_measure: 0.9041, kappa: 0.8044, kb_relative_information_score: 201.1741, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9043, predictive_accuracy: 0.904, prior_entropy: 0.9852, recall: 0.904, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.604, scimark_benchmark: 946.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, build_cpu_time: 0.0168, build_memory: 603268877.6, f_measure: 0.8388, kappa: 0.6693, kb_relative_information_score: 144.8424, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9852, recall: 0.84, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.376, root_relative_squared_error: 0.76, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 2.6056, build_memory: 367293798.4, f_measure: 0.8673, kappa: 0.7282, kb_relative_information_score: 145.5119, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.9852, recall: 0.868, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.62, scimark_benchmark: 931.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, build_cpu_time: 0.3724, build_memory: 807416683.2, f_measure: 0.8839, kappa: 0.7628, kb_relative_information_score: 158.4072, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5882, scimark_benchmark: 949.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, build_cpu_time: 1.3459, build_memory: 128246079.2, f_measure: 0.8754, kappa: 0.7446, kb_relative_information_score: 148.0235, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9852, recall: 0.876, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6155, scimark_benchmark: 925.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 0.3384, build_memory: 125703541.6, f_measure: 0.8959, kappa: 0.7871, kb_relative_information_score: 145.8145, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9852, recall: 0.896, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6003, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, build_cpu_time: 2.4275, build_memory: 447493028.8, f_measure: 0.5872, kappa: 0.1528, kb_relative_information_score: 39.7135, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5862, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0418, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, build_cpu_time: 0.6075, build_memory: 786937523.2, f_measure: 0.6115, kappa: 0.2026, kb_relative_information_score: 40.2692, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6109, predictive_accuracy: 0.616, prior_entropy: 0.9852, recall: 0.616, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.0439, scimark_benchmark: 935.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, build_cpu_time: 0.164, build_memory: 253363264, f_measure: 0.6084, kappa: 0.2013, kb_relative_information_score: 39.534, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6089, predictive_accuracy: 0.608, prior_entropy: 0.9852, recall: 0.608, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0606, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, build_cpu_time: 0.2976, build_memory: 282759960, f_measure: 0.6099, kappa: 0.2124, kb_relative_information_score: 34.4744, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6157, predictive_accuracy: 0.608, prior_entropy: 0.9852, recall: 0.608, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0355, scimark_benchmark: 935.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, build_cpu_time: 0.0003, build_memory: 288417664, f_measure: 0.4163, kb_relative_information_score: -0.093, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, build_cpu_time: 0.0002, build_memory: 207658624, f_measure: 0.4163, kb_relative_information_score: -0.093, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, build_cpu_time: 0.2, build_memory: 1289532812.8, f_measure: 0.8744, kappa: 0.7422, kb_relative_information_score: 99.3567, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8795, predictive_accuracy: 0.876, prior_entropy: 0.9852, recall: 0.876, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7176, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, build_cpu_time: 0.1907, build_memory: 2593906388, f_measure: 0.8744, kappa: 0.7422, kb_relative_information_score: 99.3567, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8795, predictive_accuracy: 0.876, prior_entropy: 0.9852, recall: 0.876, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7176, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.0156, build_memory: 215451154.4, f_measure: 0.8519, kappa: 0.6974, kb_relative_information_score: 106.2554, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7336, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.0693, build_memory: 591481559.2, f_measure: 0.8959, kappa: 0.7871, kb_relative_information_score: 146.3946, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9852, recall: 0.896, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6083, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.0646, build_memory: 1001026297.6, f_measure: 0.8959, kappa: 0.7871, kb_relative_information_score: 146.3946, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9852, recall: 0.896, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6083, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, build_cpu_time: 0.1781, build_memory: 471098200.8, f_measure: 0.8919, kappa: 0.7792, kb_relative_information_score: 147.3118, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.601, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, build_cpu_time: 0.0019, build_memory: 374391163.2, f_measure: 0.6336, kappa: 0.2486, kb_relative_information_score: 38.8179, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6328, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.972, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, build_cpu_time: 0.2806, build_memory: 521252532.8, f_measure: 0.5881, kappa: 0.1548, kb_relative_information_score: 38.0456, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5869, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.054, scimark_benchmark: 928.8874,

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