Task
Supervised Classification on rmftsa_sleepdata

Supervised Classification on rmftsa_sleepdata

Task 3607 Supervised Classification rmftsa_sleepdata 541 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, build_cpu_time: 0.1998, build_memory: 134387608.2266, f_measure: 0.7305, kappa: 0.4609, kb_relative_information_score: 324.4623, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7305, predictive_accuracy: 0.7305, prior_entropy: 1, recall: 0.7305, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8495, scimark_benchmark: 930.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6889, kappa: 0.3792, kb_relative_information_score: 265.0587, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6913, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8724, scimark_benchmark: 1347.5461, usercpu_time_millis: 3310, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 3200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.7301, kappa: 0.4643, kb_relative_information_score: 281.1749, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7399, predictive_accuracy: 0.7324, prior_entropy: 1, recall: 0.7324, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8779, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7111, kappa: 0.4271, kb_relative_information_score: 279.4946, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7215, predictive_accuracy: 0.7139, prior_entropy: 1, recall: 0.7139, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8874, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7111, kappa: 0.4271, kb_relative_information_score: 279.4946, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7215, predictive_accuracy: 0.7139, prior_entropy: 1, recall: 0.7139, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8874, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1325.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7291, kappa: 0.4587, kb_relative_information_score: 469.9726, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0402, scimark_benchmark: 1342.2845, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6889, kappa: 0.3792, kb_relative_information_score: 265.0587, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6913, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8724, scimark_benchmark: 1354.5533, usercpu_time_millis: 2430, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7111, kappa: 0.4271, kb_relative_information_score: 279.4946, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7215, predictive_accuracy: 0.7139, prior_entropy: 1, recall: 0.7139, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8874, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7314, kappa: 0.4628, kb_relative_information_score: 340.2488, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7315, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8472, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7265, kappa: 0.4547, kb_relative_information_score: 226.6638, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7304, predictive_accuracy: 0.7275, prior_entropy: 1, recall: 0.7275, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8711, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7051, kappa: 0.4102, kb_relative_information_score: 353.1689, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7052, predictive_accuracy: 0.7051, prior_entropy: 1, recall: 0.7051, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8943, scimark_benchmark: 1339.2472, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7153, kappa: 0.4349, kb_relative_information_score: 282.5039, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7249, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8837, scimark_benchmark: 1318.6467, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6706, kappa: 0.3505, kb_relative_information_score: 357.967, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6852, predictive_accuracy: 0.6748, prior_entropy: 1, recall: 0.6748, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1405, usercpu_time_millis: 50.341, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 50.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7266, kappa: 0.4531, kb_relative_information_score: 463.9723, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7266, predictive_accuracy: 0.7266, prior_entropy: 1, recall: 0.7266, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5229, root_relative_squared_error: 1.0458, usercpu_time_millis: 352.337, usercpu_time_millis_testing: 4.813, usercpu_time_millis_training: 347.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6999, kappa: 0.4002, kb_relative_information_score: 409.9696, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7008, predictive_accuracy: 0.7002, prior_entropy: 1, recall: 0.7002, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5475, root_relative_squared_error: 1.0951, usercpu_time_millis: 1.413, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7171, kappa: 0.437, kb_relative_information_score: 447.9715, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7234, predictive_accuracy: 0.7188, prior_entropy: 1, recall: 0.7188, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.0607, usercpu_time_millis: 28.857, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 28.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.7392, kappa: 0.4784, kb_relative_information_score: 489.9736, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7395, predictive_accuracy: 0.7393, prior_entropy: 1, recall: 0.7393, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0213, usercpu_time_millis: 179.069, usercpu_time_millis_testing: 12.17, usercpu_time_millis_training: 166.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.6858, kappa: 0.3755, kb_relative_information_score: 383.9683, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6922, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1181, usercpu_time_millis: 0.603, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.7451, kappa: 0.4903, kb_relative_information_score: 501.9741, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7454, predictive_accuracy: 0.7451, prior_entropy: 1, recall: 0.7451, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0097, usercpu_time_millis: 107.775, usercpu_time_millis_testing: 8.822, usercpu_time_millis_training: 98.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.7315, kappa: 0.4645, kb_relative_information_score: 475.9729, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7351, predictive_accuracy: 0.7324, prior_entropy: 1, recall: 0.7324, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.0346, usercpu_time_millis: 2.855, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 2.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7226, kappa: 0.4453, kb_relative_information_score: 455.9719, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7227, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0533, usercpu_time_millis: 7.147, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 6.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7051, kappa: 0.4102, kb_relative_information_score: 419.9701, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7052, predictive_accuracy: 0.7051, prior_entropy: 1, recall: 0.7051, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0862, usercpu_time_millis: 48.253, usercpu_time_millis_testing: 11.871, usercpu_time_millis_training: 36.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.6592, kappa: 0.3229, kb_relative_information_score: 329.9657, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6656, predictive_accuracy: 0.6611, prior_entropy: 1, recall: 0.6611, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5821, root_relative_squared_error: 1.1643, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7292, kappa: 0.4588, kb_relative_information_score: 469.9726, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7301, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0402, usercpu_time_millis: 4.323, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 4.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.691, kappa: 0.3852, kb_relative_information_score: 393.9688, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6964, predictive_accuracy: 0.6924, prior_entropy: 1, recall: 0.6924, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1093, usercpu_time_millis: 17.8, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 17.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7281, kappa: 0.4568, kb_relative_information_score: 467.9725, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7295, predictive_accuracy: 0.7285, prior_entropy: 1, recall: 0.7285, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0421, usercpu_time_millis: 2.965, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7411, kappa: 0.4823, kb_relative_information_score: 304.2675, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7414, predictive_accuracy: 0.7412, prior_entropy: 1, recall: 0.7412, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.691, kappa: 0.3852, kb_relative_information_score: 235.189, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6964, predictive_accuracy: 0.6924, prior_entropy: 1, recall: 0.6924, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7411, kappa: 0.4823, kb_relative_information_score: 304.2675, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7414, predictive_accuracy: 0.7412, prior_entropy: 1, recall: 0.7412, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8714,

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