Task
Supervised Classification on fri_c1_100_10

Supervised Classification on fri_c1_100_10

Task 3654 Supervised Classification fri_c1_100_10 764 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: 0.7585, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 49.7648, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9626, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8299, kappa: 0.6584, kb_relative_information_score: 21.3308, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8493, scimark_benchmark: 923.7471, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7202, kappa: 0.4393, kb_relative_information_score: 20.6573, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.721, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.883, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 40.4966, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 46.9037, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7954, scimark_benchmark: 919.6941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 54.5549, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8385, scimark_benchmark: 906.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6902, kappa: 0.3815, kb_relative_information_score: 37.6793, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6938, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1156, scimark_benchmark: 946.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8291, kappa: 0.6567, kb_relative_information_score: 43.5815, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8323, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7479, scimark_benchmark: 935.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.6394, kappa: 0.2757, kb_relative_information_score: 15.9841, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6394, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9854, scimark_benchmark: 952.4682, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 42.5001, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.877, scimark_benchmark: 946.6409, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 46.2174, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.709, scimark_benchmark: 949.7766, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 40.4966, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6902, kappa: 0.3815, kb_relative_information_score: 37.6793, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6938, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1156, scimark_benchmark: 1314.9949, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 40.1593, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.449, root_relative_squared_error: 0.8996, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 40.1593, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.449, root_relative_squared_error: 0.8996, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.6394, kappa: 0.2757, kb_relative_information_score: 15.9841, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6394, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9854, scimark_benchmark: 1292.514, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 42.5001, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.877, scimark_benchmark: 1340.9446, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 40.4966, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8291, kappa: 0.6567, kb_relative_information_score: 43.5815, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8323, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7479, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 40.1593, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.449, root_relative_squared_error: 0.8996, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 40.4966, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 1316.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 40.1593, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.449, root_relative_squared_error: 0.8996, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 1347.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 46.2174, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.709, scimark_benchmark: 1331.2559, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 40.1593, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.449, root_relative_squared_error: 0.8996, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8291, kappa: 0.6567, kb_relative_information_score: 43.5815, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8323, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7479, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 46.2174, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.709, scimark_benchmark: 1318.6467, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 46.2174, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.709, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 40.4966, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 54.5549, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8385, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 42.5001, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.877, scimark_benchmark: 1312.0581, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 46.2174, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.709, scimark_benchmark: 1315.933, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 40.4966, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7275, kappa: 0.4534, kb_relative_information_score: 41.5109, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7323, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 46.2174, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.709, scimark_benchmark: 1312.0581, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 40.4966, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 46.9037, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7954, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 40.4966, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 46.9037, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7954, scimark_benchmark: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 54.5549, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8385, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 40.4966, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, scimark_benchmark: 1301.7387,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs