OpenML
Supervised Classification on rmftsa_sleepdata

Supervised Classification on rmftsa_sleepdata

Task 3607 Supervised Classification rmftsa_sleepdata 541 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: 0.7334, f_measure: 0.7153, kappa: 0.4368, kb_relative_information_score: 452.9279, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.729, predictive_accuracy: 0.7188, prior_entropy: 1, recall: 0.7188, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0294, scimark_benchmark: 1353.2625, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1308.3432, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4951, kappa: -0.0012, kb_relative_information_score: -0.0506, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.4994, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 1261.7298, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.691, kappa: 0.3852, kb_relative_information_score: 235.1691, 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: 0.7986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8941, scimark_benchmark: 1316.6866, usercpu_time_millis: 460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 430,
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: 904.3681, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 961.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.6834, kappa: 0.367, kb_relative_information_score: 167.14, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6839, predictive_accuracy: 0.6836, prior_entropy: 1, recall: 0.6836, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.453, root_relative_squared_error: 0.906, scimark_benchmark: 944.0517, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, 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: 1317.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.7136, kappa: 0.4347, kb_relative_information_score: 270.559, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7303, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8813, scimark_benchmark: 925.4974, usercpu_time_millis: 590, usercpu_time_millis_testing: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.68, kappa: 0.3638, kb_relative_information_score: 371.9677, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.686, predictive_accuracy: 0.6816, prior_entropy: 1, recall: 0.6816, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5642, root_relative_squared_error: 1.1285, scimark_benchmark: 1296.8947, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.4036, kappa: 0.0027, kb_relative_information_score: -2.0507, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.5039, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7078, root_relative_squared_error: 1.4156, scimark_benchmark: 1311.1837, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7129, kappa: 0.4347, kb_relative_information_score: 248.4979, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7326, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8933, scimark_benchmark: 1270.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7441, kappa: 0.4882, kb_relative_information_score: 296.276, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7443, predictive_accuracy: 0.7441, prior_entropy: 1, recall: 0.7441, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.436, root_relative_squared_error: 0.872, scimark_benchmark: 896.937, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.7016, kappa: 0.4076, kb_relative_information_score: 161.256, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7105, predictive_accuracy: 0.7041, prior_entropy: 1, recall: 0.7041, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9051, scimark_benchmark: 1311.9814, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7157, kappa: 0.435, kb_relative_information_score: 166.8486, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7237, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9023, scimark_benchmark: 1292.1375, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7333, kappa: 0.4667, kb_relative_information_score: 336.1823, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7336, predictive_accuracy: 0.7334, prior_entropy: 1, recall: 0.7334, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8436, scimark_benchmark: 1311.1837, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7431, kappa: 0.4863, kb_relative_information_score: 321.7555, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7432, predictive_accuracy: 0.7432, prior_entropy: 1, recall: 0.7432, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8586, scimark_benchmark: 1330.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7431, kappa: 0.4863, kb_relative_information_score: 321.7555, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7432, predictive_accuracy: 0.7432, prior_entropy: 1, recall: 0.7432, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8586, scimark_benchmark: 1360.2771,
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: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.6855, kappa: 0.3777, kb_relative_information_score: 245.1548, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6968, predictive_accuracy: 0.6885, prior_entropy: 1, recall: 0.6885, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9117, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6855, kappa: 0.3777, kb_relative_information_score: 245.1508, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6968, predictive_accuracy: 0.6885, prior_entropy: 1, recall: 0.6885, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9121, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.6825, kappa: 0.3676, kb_relative_information_score: 236.5837, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6866, predictive_accuracy: 0.6836, prior_entropy: 1, recall: 0.6836, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8822, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.691, kappa: 0.3852, kb_relative_information_score: 235.1892, 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, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7297, kappa: 0.4606, kb_relative_information_score: 304.7975, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7325, predictive_accuracy: 0.7305, prior_entropy: 1, recall: 0.7305, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8375, scimark_benchmark: 986.8456, usercpu_time_millis: 630, usercpu_time_millis_testing: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.3366, kb_relative_information_score: -0.0069, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.2529, predictive_accuracy: 0.5029, prior_entropy: 1, recall: 0.5029, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.742, kappa: 0.4859, kb_relative_information_score: 303.9637, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.747, predictive_accuracy: 0.7432, prior_entropy: 1, recall: 0.7432, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8584, scimark_benchmark: 1352.1951, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7269, kappa: 0.4548, kb_relative_information_score: 318.6388, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7292, predictive_accuracy: 0.7275, prior_entropy: 1, recall: 0.7275, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8772, scimark_benchmark: 1321.1875, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.7161, kappa: 0.4387, kb_relative_information_score: 252.7073, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7197, prior_entropy: 1, recall: 0.7197, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8938, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7429, kappa: 0.4865, kb_relative_information_score: 324.6548, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7445, predictive_accuracy: 0.7432, prior_entropy: 1, recall: 0.7432, relative_absolute_error: 0.7189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8626, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.751, kappa: 0.5019, kb_relative_information_score: 344.1023, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.751, predictive_accuracy: 0.751, prior_entropy: 1, recall: 0.751, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8402, scimark_benchmark: 1368.9272, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.7158, kappa: 0.435, kb_relative_information_score: 167.3037, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7234, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9023, scimark_benchmark: 1341.7207, usercpu_time_millis: 190, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.714, kappa: 0.4348, kb_relative_information_score: 287.4779, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.729, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8787, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7402, kappa: 0.4804, kb_relative_information_score: 338.5875, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7403, predictive_accuracy: 0.7402, prior_entropy: 1, recall: 0.7402, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.842, scimark_benchmark: 1328.4045, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.6855, kappa: 0.3735, kb_relative_information_score: 350.2285, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6894, predictive_accuracy: 0.6865, prior_entropy: 1, recall: 0.6865, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9234, scimark_benchmark: 937.1527, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.5787, kappa: 0.1772, kb_relative_information_score: 32.3663, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.5974, predictive_accuracy: 0.5879, prior_entropy: 1, recall: 0.5879, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9845, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.3344, kappa: 0.0039, kb_relative_information_score: 0.3644, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7505, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9999, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7389, kappa: 0.4783, kb_relative_information_score: 438.9968, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7404, predictive_accuracy: 0.7393, prior_entropy: 1, recall: 0.7393, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9577, scimark_benchmark: 912.5006, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.6866, kappa: 0.3796, kb_relative_information_score: 244.0299, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6973, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9119, scimark_benchmark: 899.5042,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7076, kappa: 0.4175, kb_relative_information_score: 299.8382, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7125, predictive_accuracy: 0.709, prior_entropy: 1, recall: 0.709, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8699, scimark_benchmark: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.7216, kappa: 0.4485, kb_relative_information_score: 427.9179, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.734, predictive_accuracy: 0.7246, prior_entropy: 1, recall: 0.7246, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9869, scimark_benchmark: 943.2817, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.7151, kappa: 0.4349, kb_relative_information_score: 432.3931, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7256, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0018, scimark_benchmark: 942.1229, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.7216, kappa: 0.4485, kb_relative_information_score: 428.7852, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.734, predictive_accuracy: 0.7246, prior_entropy: 1, recall: 0.7246, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9854, scimark_benchmark: 922.9039, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7206, kappa: 0.4466, kb_relative_information_score: 426.9309, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7327, predictive_accuracy: 0.7236, prior_entropy: 1, recall: 0.7236, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.989, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7081, kappa: 0.4176, kb_relative_information_score: 304.1362, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.711, predictive_accuracy: 0.709, prior_entropy: 1, recall: 0.709, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8715, scimark_benchmark: 936.6206, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7076, kappa: 0.4175, kb_relative_information_score: 299.8382, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7125, predictive_accuracy: 0.709, prior_entropy: 1, recall: 0.709, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8699, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7118, kappa: 0.429, kb_relative_information_score: 293.6784, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7234, predictive_accuracy: 0.7148, prior_entropy: 1, recall: 0.7148, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8729, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.7161, kappa: 0.4387, kb_relative_information_score: 295.2748, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7197, prior_entropy: 1, recall: 0.7197, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8739, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.714, kappa: 0.4348, kb_relative_information_score: 287.4779, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.729, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8787, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.3366, kb_relative_information_score: -0.0069, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.2529, predictive_accuracy: 0.5029, prior_entropy: 1, recall: 0.5029, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.6855, kappa: 0.3711, kb_relative_information_score: 214.2632, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6855, predictive_accuracy: 0.6855, prior_entropy: 1, recall: 0.6855, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9133, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7161, kappa: 0.4387, kb_relative_information_score: 300.2117, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7197, prior_entropy: 1, recall: 0.7197, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8838, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.6845, kappa: 0.3715, kb_relative_information_score: 355.2184, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6885, predictive_accuracy: 0.6855, prior_entropy: 1, recall: 0.6855, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9184, scimark_benchmark: 930.32, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.3366, kb_relative_information_score: -0.0069, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.2529, predictive_accuracy: 0.5029, prior_entropy: 1, recall: 0.5029, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.715, kappa: 0.4367, kb_relative_information_score: 281.8896, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7298, predictive_accuracy: 0.7188, prior_entropy: 1, recall: 0.7188, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8816, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3366, kb_relative_information_score: 5.9497, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.2529, predictive_accuracy: 0.5029, prior_entropy: 1, recall: 0.5029, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.4101, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7438, kappa: 0.4885, kb_relative_information_score: 326.0382, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7456, predictive_accuracy: 0.7441, prior_entropy: 1, recall: 0.7441, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8606, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7371, kappa: 0.4748, kb_relative_information_score: 148.2104, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7382, predictive_accuracy: 0.7373, prior_entropy: 1, recall: 0.7373, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9061, scimark_benchmark: 918.4924, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7143, kappa: 0.433, kb_relative_information_score: 264.7798, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7237, predictive_accuracy: 0.7168, prior_entropy: 1, recall: 0.7168, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8767, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.5904, kappa: 0.2167, kb_relative_information_score: 219.9602, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6307, predictive_accuracy: 0.6074, prior_entropy: 1, recall: 0.6074, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6266, root_relative_squared_error: 1.2531, scimark_benchmark: 901.0726, usercpu_time_millis: 730, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7419, kappa: 0.4846, kb_relative_information_score: 348.6872, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7435, predictive_accuracy: 0.7422, prior_entropy: 1, recall: 0.7422, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8523, scimark_benchmark: 943.6956, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7419, kappa: 0.4846, kb_relative_information_score: 348.6872, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7435, predictive_accuracy: 0.7422, prior_entropy: 1, recall: 0.7422, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8523, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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