OpenML
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 3825 Supervised Classification mfeat-morphological 555 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: 0.9924, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1944.9147, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.1472, scimark_benchmark: 934.5243, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9616, kappa: 0.7899, kb_relative_information_score: -418.2394, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9624, predictive_accuracy: 0.961, prior_entropy: 0.4703, recall: 0.961, relative_absolute_error: 0.9065, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.7019, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1888.2158, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.1791, scimark_benchmark: 943.6956, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1963.35, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.129, scimark_benchmark: 929.0255, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1711.6792, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.2088, scimark_benchmark: 947.9494, usercpu_time_millis: 680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9608, kappa: 0.7863, kb_relative_information_score: 1132.1533, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 0.4703, recall: 0.96, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5746, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 941.8057, usercpu_time_millis: 530, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1953.2547, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0202, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.1272, scimark_benchmark: 935.8986, usercpu_time_millis: 19700, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 19670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1961.0872, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0399, root_relative_squared_error: 0.1329, scimark_benchmark: 901.0726, usercpu_time_millis: 17080, usercpu_time_millis_testing: 17060, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1958.1292, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1629, scimark_benchmark: 934.5243, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1956.9505, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1619, scimark_benchmark: 889.9795, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1956.9505, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1619, scimark_benchmark: 945.9253, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4943, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 918.4924, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: -11282.8389, mean_absolute_error: 0.9, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 0.4703, recall: 0.1, relative_absolute_error: 4.9911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.9487, root_relative_squared_error: 3.1623, scimark_benchmark: 930.32, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1954.5727, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1502, scimark_benchmark: 945.6434, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1961.028, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1401, scimark_benchmark: 915.2795, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 917.7039, usercpu_time_millis: 1150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 940.3346, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 0.7071, build_memory: 1292401807.2, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1961.1962, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.1451, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 0.6111, build_memory: 1024838152.8, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1961.3141, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.1444, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.49, build_memory: 1504228020.8, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1961.2877, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1386, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 0.2781, build_memory: 1246297388, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1963.0259, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.1373, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.0765, build_memory: 350341660, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1955.0104, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1638, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.1257, build_memory: 798216988, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1958.1291, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1629, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.1363, build_memory: 1009385168.8, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1958.1291, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1629, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.1401, build_memory: 847914712.8, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1958.1292, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1629, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.1482, build_memory: 1778017797.6, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1958.1292, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1629, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 0.0102, build_memory: 902892665.6, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 0.0065, build_memory: 971826653.6, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 0.0072, build_memory: 2433535771.2, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 0.0069, build_memory: 2584451733.6, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 0.0068, build_memory: 443457854.4, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.266, build_memory: 688313122.4, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1946.5992, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.1397, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.2227, build_memory: 1129142395.2, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1946.5992, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.1397, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.2539, build_memory: 306403712, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1946.5992, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.1397, scimark_benchmark: 920.6725,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 0.2607, build_memory: 1099798864, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1969.1628, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.129, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, build_cpu_time: 0.5529, build_memory: 320779891.2, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1965.1161, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.1491, scimark_benchmark: 933.442,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.7208, build_memory: 794026697.6, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4944, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 939.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.408, build_memory: 970599831.2, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4943, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 937.4026,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.2544, build_memory: 2375293928, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1954.5727, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1502, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 0.0051, build_memory: 2312499371.2, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1961.028, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1401, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.2522, build_memory: 531214368, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1946.8214, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1428, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.2211, build_memory: 170363853.6, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1946.8214, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1428, scimark_benchmark: 941.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 0.0303, build_memory: 1178434239.2, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1948.2264, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1666, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 0.0005, build_memory: 145318999.2, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1969.1628, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.129, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.5411, build_memory: 212096788, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.0387, build_memory: 1239940331.2, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.0755, build_memory: 610972138.4, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 0.0816, build_memory: 83016721.6, f_measure: 0.998, kappa: 0.9889, kb_relative_information_score: 1965.6402, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1426, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 0.003, build_memory: 561368393.6, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1970.7981, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, build_cpu_time: 0.0039, build_memory: 545193976, f_measure: 0.9581, kappa: 0.7647, kb_relative_information_score: 1382.3851, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9577, predictive_accuracy: 0.9585, prior_entropy: 0.4703, recall: 0.9585, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.6791, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0001, build_memory: 552562029.6, f_measure: 0.8526, kb_relative_information_score: -2.1702, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 0.0032, build_memory: 555934105.6, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1970.7981, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 947.3376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 0.0034, build_memory: 655107715.2, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1970.7981, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0584, build_memory: 358899572.8, f_measure: 0.0182, kb_relative_information_score: -11282.8389, mean_absolute_error: 0.9, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 0.4703, recall: 0.1, relative_absolute_error: 4.9911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.9487, root_relative_squared_error: 3.1623, scimark_benchmark: 935.2304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 0.0085, build_memory: 253050780, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1963.35, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.129, scimark_benchmark: 943.6737,

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