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OpenML
Task
Supervised Classification on fri_c2_500_50

Supervised Classification on fri_c2_500_50

Task 3783 Supervised Classification fri_c2_500_50 552 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • 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: 0.5862, f_measure: 0.5899, kappa: 0.1456, kb_relative_information_score: 48.5831, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.5884, predictive_accuracy: 0.598, prior_entropy: 0.9767, recall: 0.598, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5379, root_relative_squared_error: 1.0937, scimark_benchmark: 1363.454, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.4746, kappa: 0.1636, kb_relative_information_score: 7.3454, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7124, predictive_accuracy: 0.53, prior_entropy: 0.9767, recall: 0.53, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3939, scimark_benchmark: 1336.3256, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4379, kb_relative_information_score: 70.2252, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.3481, predictive_accuracy: 0.59, prior_entropy: 0.9767, recall: 0.59, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.3019, scimark_benchmark: 1333.5799, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.6953, kappa: 0.3736, kb_relative_information_score: 179.2169, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6974, predictive_accuracy: 0.694, prior_entropy: 0.9767, recall: 0.694, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1247, scimark_benchmark: 1287.514, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.7803, kappa: 0.5436, kb_relative_information_score: 105.2913, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7805, predictive_accuracy: 0.782, prior_entropy: 0.9767, recall: 0.782, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8927, scimark_benchmark: 930.5999, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.6882, kappa: 0.3561, kb_relative_information_score: 172.9289, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6885, predictive_accuracy: 0.688, prior_entropy: 0.9767, recall: 0.688, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1357, scimark_benchmark: 939.449, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.71, kappa: 0.3975, kb_relative_information_score: 148.641, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7094, predictive_accuracy: 0.712, prior_entropy: 0.9767, recall: 0.712, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9184, scimark_benchmark: 887.6719, usercpu_time_millis: 1590, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.7335, kappa: 0.4481, kb_relative_information_score: 221.1368, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7331, predictive_accuracy: 0.734, prior_entropy: 0.9767, recall: 0.734, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0486, scimark_benchmark: 918.6491, usercpu_time_millis: 290, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8794, kappa: 0.7497, kb_relative_information_score: 330.7118, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9767, recall: 0.88, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6759, scimark_benchmark: 934.0566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8793, kappa: 0.7494, kb_relative_information_score: 333.0819, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9767, recall: 0.88, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6609, scimark_benchmark: 934.0566, usercpu_time_millis: 620, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8773, kappa: 0.7454, kb_relative_information_score: 332.7007, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8779, predictive_accuracy: 0.878, prior_entropy: 0.9767, recall: 0.878, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6668, scimark_benchmark: 1350.9691, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8903, kappa: 0.7738, kb_relative_information_score: 352.4423, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8909, predictive_accuracy: 0.89, prior_entropy: 0.9767, recall: 0.89, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.613, scimark_benchmark: 937.6212, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8678, kappa: 0.7263, kb_relative_information_score: 210.2995, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8677, predictive_accuracy: 0.868, prior_entropy: 0.9767, recall: 0.868, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7076, scimark_benchmark: 1280.6952, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.6725, kappa: 0.3206, kb_relative_information_score: 158.2569, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6716, predictive_accuracy: 0.674, prior_entropy: 0.9767, recall: 0.674, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1609, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8741, kappa: 0.7378, kb_relative_information_score: 317.3685, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.879, predictive_accuracy: 0.876, prior_entropy: 0.9767, recall: 0.876, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6686, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.8707, kappa: 0.731, kb_relative_information_score: 313.0176, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8729, predictive_accuracy: 0.872, prior_entropy: 0.9767, recall: 0.872, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6787, scimark_benchmark: 1309.3173, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.4646, kappa: 0.0241, kb_relative_information_score: 76.5132, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.612, predictive_accuracy: 0.596, prior_entropy: 0.9767, recall: 0.596, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2923, scimark_benchmark: 825.5282, usercpu_time_millis: 230, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2384, kb_relative_information_score: -118.4143, mean_absolute_error: 0.59, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.1681, predictive_accuracy: 0.41, prior_entropy: 0.9767, recall: 0.41, relative_absolute_error: 1.2194, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.7681, root_relative_squared_error: 1.5617, scimark_benchmark: 1280.6952, usercpu_time_millis: 550, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.8359, kappa: 0.6605, kb_relative_information_score: 323.3792, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8358, predictive_accuracy: 0.836, prior_entropy: 0.9767, recall: 0.836, relative_absolute_error: 0.3517, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8086, scimark_benchmark: 1358.4523, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.789, kappa: 0.5624, kb_relative_information_score: 279.8246, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7888, predictive_accuracy: 0.79, prior_entropy: 0.9767, recall: 0.79, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9317, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.8532, kappa: 0.6953, kb_relative_information_score: 346.8964, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8536, predictive_accuracy: 0.854, prior_entropy: 0.9767, recall: 0.854, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7769, scimark_benchmark: 1353.5686, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4897, f_measure: 0.4379, kb_relative_information_score: -0.0991, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.3481, predictive_accuracy: 0.59, prior_entropy: 0.9767, recall: 0.59, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4919, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8539, kappa: 0.698, kb_relative_information_score: 340.485, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8539, predictive_accuracy: 0.854, prior_entropy: 0.9767, recall: 0.854, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7604, scimark_benchmark: 1605.6303, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7221, kappa: 0.4258, kb_relative_information_score: 206.3517, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7222, predictive_accuracy: 0.722, prior_entropy: 0.9767, recall: 0.722, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9984, scimark_benchmark: 931.2336, usercpu_time_millis: 480, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7196, kappa: 0.4195, kb_relative_information_score: 200.8251, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7192, predictive_accuracy: 0.72, prior_entropy: 0.9767, recall: 0.72, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0166, scimark_benchmark: 945.6434, usercpu_time_millis: 680, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7215, kappa: 0.4232, kb_relative_information_score: 190.3149, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7211, predictive_accuracy: 0.722, prior_entropy: 0.9767, recall: 0.722, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9236, scimark_benchmark: 941.7954, usercpu_time_millis: 420, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7188, kappa: 0.4169, kb_relative_information_score: 187.8206, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7183, predictive_accuracy: 0.72, prior_entropy: 0.9767, recall: 0.72, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9088, scimark_benchmark: 923.7642, usercpu_time_millis: 410, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7188, kappa: 0.4169, kb_relative_information_score: 187.8206, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7183, predictive_accuracy: 0.72, prior_entropy: 0.9767, recall: 0.72, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9088, scimark_benchmark: 894.7455, usercpu_time_millis: 420, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8775, kappa: 0.7461, kb_relative_information_score: 366.3514, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8777, predictive_accuracy: 0.878, prior_entropy: 0.9767, recall: 0.878, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6688, scimark_benchmark: 940.2922, usercpu_time_millis: 1570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8553, kappa: 0.6997, kb_relative_information_score: 353.6759, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8556, predictive_accuracy: 0.856, prior_entropy: 0.9767, recall: 0.856, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6869, scimark_benchmark: 938.2848, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8639, kappa: 0.7185, kb_relative_information_score: 349.1972, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 0.9767, recall: 0.864, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6924, scimark_benchmark: 911.3823, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8222, kappa: 0.6329, kb_relative_information_score: 306.8158, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8224, predictive_accuracy: 0.822, prior_entropy: 0.9767, recall: 0.822, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7879, scimark_benchmark: 922.9039, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.881, kappa: 0.7526, kb_relative_information_score: 367.3579, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8826, predictive_accuracy: 0.882, prior_entropy: 0.9767, recall: 0.882, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6175, scimark_benchmark: 933.8635, usercpu_time_millis: 1120, usercpu_time_millis_training: 1120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, build_cpu_time: 0.2422, build_memory: 1018121383.2, f_measure: 0.8621, kappa: 0.7154, kb_relative_information_score: 202.8229, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8624, predictive_accuracy: 0.862, prior_entropy: 0.9767, recall: 0.862, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7208, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, build_cpu_time: 0.2453, build_memory: 923280054.4, f_measure: 0.8621, kappa: 0.7154, kb_relative_information_score: 202.8229, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8624, predictive_accuracy: 0.862, prior_entropy: 0.9767, recall: 0.862, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7208, scimark_benchmark: 915.8564,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, build_cpu_time: 0.1947, build_memory: 901055314.4, f_measure: 0.721, kappa: 0.4215, kb_relative_information_score: 187.9933, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7204, predictive_accuracy: 0.722, prior_entropy: 0.9767, recall: 0.722, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9059, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.233, build_memory: 1450550839.2, f_measure: 0.7188, kappa: 0.4169, kb_relative_information_score: 187.8206, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7183, predictive_accuracy: 0.72, prior_entropy: 0.9767, recall: 0.72, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9088, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.236, build_memory: 3057196964.8, f_measure: 0.7188, kappa: 0.4169, kb_relative_information_score: 187.8206, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7183, predictive_accuracy: 0.72, prior_entropy: 0.9767, recall: 0.72, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9088, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, build_cpu_time: 79.2783, build_memory: 16414311.2, f_measure: 0.8525, kappa: 0.6963, kb_relative_information_score: 329.3161, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8537, predictive_accuracy: 0.852, prior_entropy: 0.9767, recall: 0.852, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6989, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, build_cpu_time: 149.7622, build_memory: 1286893085.6, f_measure: 0.8681, kappa: 0.7276, kb_relative_information_score: 354.7395, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 0.9767, recall: 0.868, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6949, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, build_cpu_time: 316.4047, build_memory: 24740896, f_measure: 0.87, kappa: 0.7311, kb_relative_information_score: 364.7084, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9767, recall: 0.87, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6908, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, build_cpu_time: 645.1186, build_memory: 28026288, f_measure: 0.8777, kappa: 0.7465, kb_relative_information_score: 376.2822, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8777, predictive_accuracy: 0.878, prior_entropy: 0.9767, recall: 0.878, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6737, scimark_benchmark: 899.4388,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, build_cpu_time: 191.2086, build_memory: 379966666.4, f_measure: 0.8958, kappa: 0.7844, kb_relative_information_score: 390.4442, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8958, predictive_accuracy: 0.896, prior_entropy: 0.9767, recall: 0.896, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6539, scimark_benchmark: 943.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, build_cpu_time: 92.1767, build_memory: 210368756, f_measure: 0.8818, kappa: 0.7552, kb_relative_information_score: 376.0034, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8817, predictive_accuracy: 0.882, prior_entropy: 0.9767, recall: 0.882, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6914, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, build_cpu_time: 44.954, build_memory: 105064502.4, f_measure: 0.8736, kappa: 0.7382, kb_relative_information_score: 366.5381, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8736, predictive_accuracy: 0.874, prior_entropy: 0.9767, recall: 0.874, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7182, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, build_cpu_time: 21.4984, build_memory: 119204887.2, f_measure: 0.8697, kappa: 0.7303, kb_relative_information_score: 363.4502, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9767, recall: 0.87, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7096, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, build_cpu_time: 10.4356, build_memory: 1480493666.4, f_measure: 0.848, kappa: 0.6858, kb_relative_information_score: 339.2062, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9767, recall: 0.848, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7473, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 2.2174, build_memory: 161298799.2, f_measure: 0.868, kappa: 0.7272, kb_relative_information_score: 355.5141, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9767, recall: 0.868, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6931, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, build_cpu_time: 8.296, build_memory: 578470621.6, f_measure: 0.9015, kappa: 0.7958, kb_relative_information_score: 396.093, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 0.9767, recall: 0.902, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6161, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, build_cpu_time: 35.5914, build_memory: 723740177.6, f_measure: 0.9197, kappa: 0.8334, kb_relative_information_score: 416.5439, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9201, predictive_accuracy: 0.92, prior_entropy: 0.9767, recall: 0.92, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.5626, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 6.9716, build_memory: 764381468, f_measure: 0.8936, kappa: 0.7794, kb_relative_information_score: 386.0648, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8938, predictive_accuracy: 0.894, prior_entropy: 0.9767, recall: 0.894, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6438, scimark_benchmark: 945.5885,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs