Task
Supervised Classification on heart-h

Supervised Classification on heart-h

Task 280 Supervised Classification heart-h 306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7749, kappa: 0.5028, kb_relative_information_score: 32.5671, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7817, predictive_accuracy: 0.7835, prior_entropy: 1.0314, recall: 0.7835, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.863, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8214, kappa: 0.6078, kb_relative_information_score: 50.6096, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8229, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.7709, scimark_benchmark: 851.2074, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4985, kb_relative_information_score: 18.0953, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.4085, predictive_accuracy: 0.6392, prior_entropy: 1.0314, recall: 0.6392, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.3799, root_relative_squared_error: 1.2507, scimark_benchmark: 916.0735, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4985, kb_relative_information_score: 18.0953, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.4085, predictive_accuracy: 0.6392, prior_entropy: 1.0314, recall: 0.6392, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.3799, root_relative_squared_error: 1.2507, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8214, kappa: 0.6078, kb_relative_information_score: 41.6785, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8229, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.7558, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.81, kappa: 0.5821, kb_relative_information_score: 45.3495, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8126, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.7784, scimark_benchmark: 927.2917, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8059, kappa: 0.571, kb_relative_information_score: 45.09, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.7236, scimark_benchmark: 931.771, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4985, kb_relative_information_score: 18.0953, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.4085, predictive_accuracy: 0.6392, prior_entropy: 1.0314, recall: 0.6392, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.3799, root_relative_squared_error: 1.2507, scimark_benchmark: 937.5117, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.81, kappa: 0.5821, kb_relative_information_score: 45.3495, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8126, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.7784, scimark_benchmark: 938.5498, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8059, kappa: 0.571, kb_relative_information_score: 45.09, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.7236, scimark_benchmark: 943.1009, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7749, kappa: 0.5028, kb_relative_information_score: 32.5671, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7817, predictive_accuracy: 0.7835, prior_entropy: 1.0314, recall: 0.7835, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.863, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8214, kappa: 0.6078, kb_relative_information_score: 50.6096, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8229, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.7709, scimark_benchmark: 936.2574, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4985, kb_relative_information_score: 18.0953, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.4085, predictive_accuracy: 0.6392, prior_entropy: 1.0314, recall: 0.6392, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.3799, root_relative_squared_error: 1.2507, scimark_benchmark: 927.2882, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8214, kappa: 0.6078, kb_relative_information_score: 41.6785, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8229, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.7558, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8059, kappa: 0.571, kb_relative_information_score: 45.09, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.7236, scimark_benchmark: 901.4991, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8177, kappa: 0.5975, kb_relative_information_score: 42.2937, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8275, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.7321, scimark_benchmark: 763.3895, usercpu_time_millis: 2490, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8275, kappa: 0.6187, kb_relative_information_score: 42.9236, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8413, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7303, scimark_benchmark: 943.2803, usercpu_time_millis: 860, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8059, kappa: 0.571, kb_relative_information_score: 43.4451, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.7224, scimark_benchmark: 935.0213, usercpu_time_millis: 380, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8155, kappa: 0.5921, kb_relative_information_score: 43.0683, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8323, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.7229, scimark_benchmark: 911.2316, usercpu_time_millis: 220, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8294, kappa: 0.6237, kb_relative_information_score: 42.7239, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.837, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7336, scimark_benchmark: 894.7131, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4985, kb_relative_information_score: -0.9049, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.4085, predictive_accuracy: 0.6392, prior_entropy: 1.0314, recall: 0.6392, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8275, kappa: 0.6187, kb_relative_information_score: 57.2945, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8413, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.809, scimark_benchmark: 938.3115, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8372, kappa: 0.6401, kb_relative_information_score: 58.0501, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8561, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.798, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8177, kappa: 0.5975, kb_relative_information_score: 57.1356, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8275, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.8026, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8275, kappa: 0.6187, kb_relative_information_score: 55.5655, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8413, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.251, root_relative_squared_error: 0.8263, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.7843, kappa: 0.5233, kb_relative_information_score: 50.7636, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7947, predictive_accuracy: 0.7938, prior_entropy: 1.0314, recall: 0.7938, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.8644, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4985, kb_relative_information_score: 18.0953, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.4085, predictive_accuracy: 0.6392, prior_entropy: 1.0314, recall: 0.6392, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.3799, root_relative_squared_error: 1.2507, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7749, kappa: 0.5028, kb_relative_information_score: 32.5671, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7817, predictive_accuracy: 0.7835, prior_entropy: 1.0314, recall: 0.7835, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.863, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7911, kappa: 0.5253, kb_relative_information_score: 26.4934, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8194, predictive_accuracy: 0.7835, prior_entropy: 1.0314, recall: 0.7835, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.8557, scimark_benchmark: 936.7184, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.81, kappa: 0.5821, kb_relative_information_score: 45.3495, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8126, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.7784, scimark_benchmark: 1393.8432, usercpu_time_millis: 460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8059, kappa: 0.571, kb_relative_information_score: 45.09, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.7236, scimark_benchmark: 1323.5075, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8214, kappa: 0.6078, kb_relative_information_score: 50.6096, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8229, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.7709, scimark_benchmark: 1253.0071, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4985, kb_relative_information_score: 18.0953, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.4085, predictive_accuracy: 0.6392, prior_entropy: 1.0314, recall: 0.6392, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.3799, root_relative_squared_error: 1.2507, scimark_benchmark: 1332.0682, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 1364.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 1337.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8214, kappa: 0.6078, kb_relative_information_score: 41.6785, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8229, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.7558, scimark_benchmark: 1328.1785, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 1333.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.81, kappa: 0.5821, kb_relative_information_score: 45.3495, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8126, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.7784, scimark_benchmark: 1312.3892, usercpu_time_millis: 500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7749, kappa: 0.5028, kb_relative_information_score: 32.5671, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7817, predictive_accuracy: 0.7835, prior_entropy: 1.0314, recall: 0.7835, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.863, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8059, kappa: 0.571, kb_relative_information_score: 45.09, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.7236, scimark_benchmark: 1362.1309, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8294, kappa: 0.6237, kb_relative_information_score: 40.428, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.837, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.7544, scimark_benchmark: 1353.3951, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8294, kappa: 0.6237, kb_relative_information_score: 53.49, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.837, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.6919, scimark_benchmark: 1385.8862, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4985, kb_relative_information_score: 18.0953, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.4085, predictive_accuracy: 0.6392, prior_entropy: 1.0314, recall: 0.6392, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.3799, root_relative_squared_error: 1.2507, scimark_benchmark: 1314.0283, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8059, kappa: 0.571, kb_relative_information_score: 45.09, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.7236, scimark_benchmark: 1347.993, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8059, kappa: 0.571, kb_relative_information_score: 45.09, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.7236, scimark_benchmark: 1322.7257, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.033, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6983, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8214, kappa: 0.6078, kb_relative_information_score: 41.6785, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8229, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.7558, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.81, kappa: 0.5821, kb_relative_information_score: 45.3495, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8126, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.7784, scimark_benchmark: 1328.1857, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7749, kappa: 0.5028, kb_relative_information_score: 32.5671, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7817, predictive_accuracy: 0.7835, prior_entropy: 1.0314, recall: 0.7835, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.863, scimark_benchmark: 1371.9645,

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