Task
Supervised Classification on SPECT

Supervised Classification on SPECT

Task 3495 Supervised Classification SPECT 546 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.1159, build_memory: 2360255490.8764, f_measure: 0.8322, kappa: 0.4611, kb_relative_information_score: 60.1329, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8303, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.8724, scimark_benchmark: 939.2044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, build_cpu_time: 0.0306, build_memory: 2995385525.5131, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 57.3236, mean_absolute_error: 0.2394, 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: 0.7291, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.353, root_relative_squared_error: 0.8727, scimark_benchmark: 915.8235,
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: 1347.5461, usercpu_time_millis: 890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 880,
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: 1319.952, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
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: 1347.6184,
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: 1360.0477, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1318.9519, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1360.0477, usercpu_time_millis: 640, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 620,
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: 938.0414,
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: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1346.4374,
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: 1313.5633,
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: 1331.4379,
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: 1345.6844,
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: 1362.9924,
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: 0.8187, 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: 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: 1338.5214,
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: 0.8187, 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: 0.8432, 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: 0.8019, 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: 0.8187, 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: 0.8175, 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,
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: 0.7814, 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: 0.8187, 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: 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: 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: 0.759, 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: 0.7723, 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: 0.8187, 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: 0.8074, f_measure: 0.7028, kb_relative_information_score: 23.4735, mean_absolute_error: 0.2934, 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: 0.8934, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9127,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.8274, kappa: 0.452, kb_relative_information_score: 58.2441, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8241, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.893, scimark_benchmark: 1779.392,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.8258, kappa: 0.4438, kb_relative_information_score: 110.408, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8228, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0038, usercpu_time_millis: 4.062, usercpu_time_millis_testing: 1.671, usercpu_time_millis_training: 2.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.8227, kappa: 0.4354, kb_relative_information_score: 106.8838, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8192, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0151, usercpu_time_millis: 0.443, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.8102, kappa: 0.4028, kb_relative_information_score: 92.7867, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8062, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0592, usercpu_time_millis: 0.562, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 0.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.537, f_measure: 0.7242, kappa: 0.0905, kb_relative_information_score: 36.3985, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7074, predictive_accuracy: 0.7566, prior_entropy: 0.738, recall: 0.7566, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.22, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, 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: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.8361, kappa: 0.4905, kb_relative_information_score: 113.9323, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8339, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9923, usercpu_time_millis: 1.556, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 1.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, 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: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374, usercpu_time_millis: 1.071, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.8207, kappa: 0.5002, kb_relative_information_score: 85.7382, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.847, predictive_accuracy: 0.809, prior_entropy: 0.738, recall: 0.809, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.437, root_relative_squared_error: 1.0807, usercpu_time_millis: 0.655, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.8146, kappa: 0.4274, kb_relative_information_score: 92.7867, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8129, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0592, usercpu_time_millis: 0.95, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, 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: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, usercpu_time_millis: 4.217, usercpu_time_millis_testing: 1.924, usercpu_time_millis_training: 2.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.8132, kappa: 0.4194, kb_relative_information_score: 92.7867, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8106, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0592, usercpu_time_millis: 5.083, usercpu_time_millis_testing: 2.2, usercpu_time_millis_training: 2.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, 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: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374, usercpu_time_millis: 8.734, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 8.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.8211, kappa: 0.4353, kb_relative_information_score: 103.3595, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8175, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0263, usercpu_time_millis: 3.284, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 2.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.8177, kappa: 0.4352, kb_relative_information_score: 96.311, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8156, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.424, root_relative_squared_error: 1.0484, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.8242, kappa: 0.4436, kb_relative_information_score: 106.8838, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8207, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0151, usercpu_time_millis: 2.366, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 1.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 113.9323, mean_absolute_error: 0.161, 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: 0.4904, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9923, usercpu_time_millis: 16.161, usercpu_time_millis_testing: 4.441, usercpu_time_millis_training: 11.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.8274, kappa: 0.452, kb_relative_information_score: 110.408, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8241, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0038, usercpu_time_millis: 437.121, usercpu_time_millis_testing: 24.093, usercpu_time_millis_training: 413.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.7994, kappa: 0.3807, kb_relative_information_score: 78.6897, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7976, 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, usercpu_time_millis: 32.413, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 32.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.8164, kappa: 0.4188, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8125, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374, usercpu_time_millis: 0.593, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 0.28,

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