OpenML
Supervised Classification on SPECT

Supervised Classification on SPECT

Task 3495 Supervised Classification SPECT 546 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: 0.8019, f_measure: 0.818, kappa: 0.4272, kb_relative_information_score: 17.5271, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8143, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.897, scimark_benchmark: 934.1885, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.8195, kappa: 0.427, kb_relative_information_score: 42.9816, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8158, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8963, scimark_benchmark: 934.7585, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.7181, kappa: 0.0487, kb_relative_information_score: 75.1654, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7719, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.112, scimark_benchmark: 946.8777, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.8206, kappa: 0.4178, kb_relative_information_score: 38.5306, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8199, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.8941, scimark_benchmark: 922.5036, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8337, kappa: 0.4691, kb_relative_information_score: 73.1013, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8313, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.348, root_relative_squared_error: 0.8605, scimark_benchmark: 952.4682, usercpu_time_millis: 1260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.8159, kappa: 0.4352, kb_relative_information_score: 71.9764, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8153, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.9624, scimark_benchmark: 946.6409, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 53.6364, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9013, scimark_benchmark: 946.9304, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.7181, kappa: 0.0487, kb_relative_information_score: 75.1654, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7719, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.112, scimark_benchmark: 1337.9632, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 50.6026, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.0378, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.8206, kappa: 0.4178, kb_relative_information_score: 38.5306, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8199, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.8941, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 1307.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 50.6026, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.0378, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 53.6364, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9013, scimark_benchmark: 1331.7953, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.818, kappa: 0.4272, kb_relative_information_score: 17.5271, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8143, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.897, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 50.6026, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.0378, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.8159, kappa: 0.4352, kb_relative_information_score: 71.9764, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8153, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.9624, scimark_benchmark: 1310.6554, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.818, kappa: 0.4272, kb_relative_information_score: 17.5271, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8143, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.897, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 50.6026, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.0378, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.8206, kappa: 0.4178, kb_relative_information_score: 38.5306, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8199, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.8941, scimark_benchmark: 1337.9552, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8337, kappa: 0.4691, kb_relative_information_score: 73.1013, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8313, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.348, root_relative_squared_error: 0.8605, scimark_benchmark: 1313.8988, usercpu_time_millis: 600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 590,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7219, kappa: 0.0603, kb_relative_information_score: 32.453, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7388, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8951, scimark_benchmark: 1347.5461, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.818, kappa: 0.4272, kb_relative_information_score: 17.5271, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8143, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.897, scimark_benchmark: 916.5769, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 86.1711, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.432, root_relative_squared_error: 1.0681, scimark_benchmark: 1314.9535, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 59.8905, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.888, scimark_benchmark: 1348.7888, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 57.9664, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.366, root_relative_squared_error: 0.905, scimark_benchmark: 1353.2625, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8369, kappa: 0.4778, kb_relative_information_score: 52.2429, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8351, predictive_accuracy: 0.8464, prior_entropy: 0.738, recall: 0.8464, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.8702, scimark_benchmark: 1326.8946, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.8117, kappa: 0.4112, kb_relative_information_score: 59.6466, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8084, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9776, scimark_benchmark: 1349.9741, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.8022, kappa: 0.3972, kb_relative_information_score: 78.6897, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8028, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4455, root_relative_squared_error: 1.1016, scimark_benchmark: 1327.3602, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8046, kappa: 0.4129, kb_relative_information_score: 42.6444, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8084, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.9329, scimark_benchmark: 1331.5882, usercpu_time_millis: 290, usercpu_time_millis_testing: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.7294, kappa: 0.1037, kb_relative_information_score: 43.447, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7138, predictive_accuracy: 0.764, prior_entropy: 0.738, recall: 0.764, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.2011, scimark_benchmark: 909.1698, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.7028, kb_relative_information_score: -1.2869, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0002, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0704, kb_relative_information_score: -481.6686, mean_absolute_error: 0.794, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.0424, predictive_accuracy: 0.206, prior_entropy: 0.738, recall: 0.206, relative_absolute_error: 2.4178, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.8911, root_relative_squared_error: 2.2033, scimark_benchmark: 1288.1375, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.7028, kb_relative_information_score: 2.0478, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0003, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.7028, kb_relative_information_score: -2.1072, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0002, scimark_benchmark: 1288.1375, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.8148, kappa: 0.4103, kb_relative_information_score: 55.9625, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8108, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9202, scimark_benchmark: 1301.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403, scimark_benchmark: 1349.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7181, kappa: 0.0487, kb_relative_information_score: 29.4221, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7719, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9018, scimark_benchmark: 1321.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 58.2308, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.901, scimark_benchmark: 1329.8847, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.8218, kappa: 0.4175, kb_relative_information_score: 49.5319, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8241, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.8674, scimark_benchmark: 1318.5627, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.7181, kappa: 0.0487, kb_relative_information_score: 75.1654, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7719, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.112, scimark_benchmark: 1119.7102, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.8117, kappa: 0.4112, kb_relative_information_score: 59.6466, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8084, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9776, scimark_benchmark: 1322.408, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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