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OpenML
Task
Supervised Classification on analcatdata_apnea2

Supervised Classification on analcatdata_apnea2

Task 3631 Supervised Classification analcatdata_apnea2 531 runs submitted
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Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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531 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9239, kappa: 0.664, kb_relative_information_score: 274.2004, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9228, predictive_accuracy: 0.9263, prior_entropy: 0.5744, recall: 0.9263, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.6859, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9513, kappa: 0.7992, kb_relative_information_score: 342.6459, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9551, predictive_accuracy: 0.9495, prior_entropy: 0.5744, recall: 0.9495, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.6583, scimark_benchmark: 1325.2092, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8028, kb_relative_information_score: 127.6793, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.075, scimark_benchmark: 887.6719, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9513, kappa: 0.7992, kb_relative_information_score: 342.6459, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9551, predictive_accuracy: 0.9495, prior_entropy: 0.5744, recall: 0.9495, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.6583, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9444, kappa: 0.767, kb_relative_information_score: 270.2021, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9463, predictive_accuracy: 0.9432, prior_entropy: 0.5744, recall: 0.9432, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.6146, scimark_benchmark: 1304.9611, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9513, kappa: 0.7992, kb_relative_information_score: 342.6459, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9551, predictive_accuracy: 0.9495, prior_entropy: 0.5744, recall: 0.9495, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.6583, scimark_benchmark: 939.449, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9441, kappa: 0.764, kb_relative_information_score: 286.3024, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9453, predictive_accuracy: 0.9432, prior_entropy: 0.5744, recall: 0.9432, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.5983, scimark_benchmark: 918.0213, usercpu_time_millis: 790, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.8067, kappa: 0.0223, kb_relative_information_score: 127.6793, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.8174, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.075, scimark_benchmark: 1306.6379, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 297.5845, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 0.5744, recall: 0.9326, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.588, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9215, kappa: 0.652, kb_relative_information_score: 267.6428, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9203, predictive_accuracy: 0.9242, prior_entropy: 0.5744, recall: 0.9242, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.239, root_relative_squared_error: 0.6999, scimark_benchmark: 1331.6907, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.9134, kappa: 0.6187, kb_relative_information_score: 254.9118, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9119, predictive_accuracy: 0.9158, prior_entropy: 0.5744, recall: 0.9158, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.8364, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.935, kappa: 0.7219, kb_relative_information_score: 301.8668, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9352, predictive_accuracy: 0.9347, prior_entropy: 0.5744, recall: 0.9347, relative_absolute_error: 0.3312, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.6078, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.9513, kappa: 0.7992, kb_relative_information_score: 299.6041, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9551, predictive_accuracy: 0.9495, prior_entropy: 0.5744, recall: 0.9495, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6026, scimark_benchmark: 1355.7054, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.9242, kappa: 0.675, kb_relative_information_score: 278.1559, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9242, predictive_accuracy: 0.9242, prior_entropy: 0.5744, recall: 0.9242, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.8063, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, f_measure: 0.6136, kappa: 0.0106, kb_relative_information_score: -699.942, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7714, predictive_accuracy: 0.5411, prior_entropy: 0.5744, recall: 0.5411, relative_absolute_error: 1.9589, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.6775, root_relative_squared_error: 1.9841, scimark_benchmark: 1335.4072, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9422, kappa: 0.7568, kb_relative_information_score: 294.6262, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9438, predictive_accuracy: 0.9411, prior_entropy: 0.5744, recall: 0.9411, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.6314, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8028, kb_relative_information_score: 127.6793, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.075, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.9274, kappa: 0.6847, kb_relative_information_score: 288.9043, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9267, predictive_accuracy: 0.9284, prior_entropy: 0.5744, recall: 0.9284, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.7836, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.8028, kb_relative_information_score: -3.4334, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3415, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 275.0541, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9224, predictive_accuracy: 0.9242, prior_entropy: 0.5744, recall: 0.9242, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6456, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9208, kappa: 0.647, kb_relative_information_score: 277.0635, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9198, predictive_accuracy: 0.9242, prior_entropy: 0.5744, recall: 0.9242, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7756, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9269, kappa: 0.6804, kb_relative_information_score: 283.4927, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.926, predictive_accuracy: 0.9284, prior_entropy: 0.5744, recall: 0.9284, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.7347, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9202, kappa: 0.6498, kb_relative_information_score: 250.6639, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.919, predictive_accuracy: 0.9221, prior_entropy: 0.5744, recall: 0.9221, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.6973, scimark_benchmark: 941.7954, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9127, kappa: 0.6133, kb_relative_information_score: 221.5362, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9112, predictive_accuracy: 0.9158, prior_entropy: 0.5744, recall: 0.9158, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.71, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9152, kappa: 0.6256, kb_relative_information_score: 214.6126, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9138, predictive_accuracy: 0.9179, prior_entropy: 0.5744, recall: 0.9179, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7115, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8785, kappa: 0.4076, kb_relative_information_score: 235.9059, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9014, predictive_accuracy: 0.9011, prior_entropy: 0.5744, recall: 0.9011, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.8107, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8819, kappa: 0.4255, kb_relative_information_score: 233.0028, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9037, predictive_accuracy: 0.9032, prior_entropy: 0.5744, recall: 0.9032, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.8301, scimark_benchmark: 943.2817, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8127, kappa: 0.0529, kb_relative_information_score: 171.7793, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.8866, predictive_accuracy: 0.8695, prior_entropy: 0.5744, recall: 0.8695, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.9539, scimark_benchmark: 942.1229, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8028, kb_relative_information_score: 128.4411, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3629, root_relative_squared_error: 1.0628, scimark_benchmark: 922.9039, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.8028, kb_relative_information_score: 127.6864, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3661, root_relative_squared_error: 1.0721, scimark_benchmark: 938.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9433, kappa: 0.7578, kb_relative_information_score: 274.8214, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9435, predictive_accuracy: 0.9432, prior_entropy: 0.5744, recall: 0.9432, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.5904, scimark_benchmark: 936.6206, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.9395, kappa: 0.7432, kb_relative_information_score: 262.0173, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9403, predictive_accuracy: 0.9389, prior_entropy: 0.5744, recall: 0.9389, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.6055, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9482, kappa: 0.7815, kb_relative_information_score: 266.8346, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9494, predictive_accuracy: 0.9474, prior_entropy: 0.5744, recall: 0.9474, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.5989, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, build_cpu_time: 0.0286, build_memory: 229921219.1326, f_measure: 0.9242, kappa: 0.675, kb_relative_information_score: 228.5631, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9242, predictive_accuracy: 0.9242, prior_entropy: 0.5744, recall: 0.9242, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.6698, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, build_cpu_time: 0.0107, build_memory: 1164809185.1116, f_measure: 0.9072, kappa: 0.593, kb_relative_information_score: 207.5715, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9057, predictive_accuracy: 0.9095, prior_entropy: 0.5744, recall: 0.9095, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.6948, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 0.0045, build_memory: 783872887.0905, f_measure: 0.9152, kappa: 0.6256, kb_relative_information_score: 194.4548, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9138, predictive_accuracy: 0.9179, prior_entropy: 0.5744, recall: 0.9179, relative_absolute_error: 0.4954, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.6814, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 0.0134, build_memory: 1318455466.139, f_measure: 0.9152, kappa: 0.6256, kb_relative_information_score: 214.6126, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9138, predictive_accuracy: 0.9179, prior_entropy: 0.5744, recall: 0.9179, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7115, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 0.0152, build_memory: 2653630241.0779, f_measure: 0.9152, kappa: 0.6256, kb_relative_information_score: 214.6126, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9138, predictive_accuracy: 0.9179, prior_entropy: 0.5744, recall: 0.9179, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7115, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, build_cpu_time: 2.2179, build_memory: 121501516.8337, f_measure: 0.9345, kappa: 0.71, kb_relative_information_score: 305.2307, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9339, predictive_accuracy: 0.9368, prior_entropy: 0.5744, recall: 0.9368, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.6533, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, build_cpu_time: 4.2354, build_memory: 899499603.2505, f_measure: 0.9402, kappa: 0.7403, kb_relative_information_score: 318.1281, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9397, predictive_accuracy: 0.9411, prior_entropy: 0.5744, recall: 0.9411, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6609, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, build_cpu_time: 8.1134, build_memory: 769781802.4758, f_measure: 0.9383, kappa: 0.7329, kb_relative_information_score: 319.6528, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9378, predictive_accuracy: 0.9389, prior_entropy: 0.5744, recall: 0.9389, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.693, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, build_cpu_time: 17.0384, build_memory: 878310821.5579, f_measure: 0.9407, kappa: 0.7438, kb_relative_information_score: 319.1435, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9403, predictive_accuracy: 0.9411, prior_entropy: 0.5744, recall: 0.9411, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.6991, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 33.2737, build_memory: 104558731.4021, f_measure: 0.9402, kappa: 0.7403, kb_relative_information_score: 324.0226, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9397, predictive_accuracy: 0.9411, prior_entropy: 0.5744, recall: 0.9411, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.6895, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, build_cpu_time: 14.0907, build_memory: 247754736.5558, f_measure: 0.9264, kappa: 0.6759, kb_relative_information_score: 289.1922, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9254, predictive_accuracy: 0.9284, prior_entropy: 0.5744, recall: 0.9284, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.781, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, build_cpu_time: 7.4484, build_memory: 603690516.9011, f_measure: 0.9336, kappa: 0.7106, kb_relative_information_score: 305.0422, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9329, predictive_accuracy: 0.9347, prior_entropy: 0.5744, recall: 0.9347, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7456, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, build_cpu_time: 3.4389, build_memory: 1387968075.2505, f_measure: 0.9341, kappa: 0.7144, kb_relative_information_score: 304.6434, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9335, predictive_accuracy: 0.9347, prior_entropy: 0.5744, recall: 0.9347, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.7478, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, build_cpu_time: 1.8855, build_memory: 762427122.4758, f_measure: 0.9269, kappa: 0.6804, kb_relative_information_score: 301.4292, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.926, predictive_accuracy: 0.9284, prior_entropy: 0.5744, recall: 0.9284, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.7366, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, build_cpu_time: 0.3182, build_memory: 349942799.6463, f_measure: 0.9341, kappa: 0.7144, kb_relative_information_score: 305.7653, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9335, predictive_accuracy: 0.9347, prior_entropy: 0.5744, recall: 0.9347, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.6709, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, build_cpu_time: 0.5019, build_memory: 1419543205.0526, f_measure: 0.9426, kappa: 0.7513, kb_relative_information_score: 318.755, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9421, predictive_accuracy: 0.9432, prior_entropy: 0.5744, recall: 0.9432, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.226, root_relative_squared_error: 0.6618, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, build_cpu_time: 1.105, build_memory: 393290952.5221, f_measure: 0.9407, kappa: 0.7438, kb_relative_information_score: 324.3487, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9403, predictive_accuracy: 0.9411, prior_entropy: 0.5744, recall: 0.9411, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.6614, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, build_cpu_time: 1.842, build_memory: 519263774.1305, f_measure: 0.943, kappa: 0.7546, kb_relative_information_score: 326.2316, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9428, predictive_accuracy: 0.9432, prior_entropy: 0.5744, recall: 0.9432, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.6729, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, build_cpu_time: 4.3235, build_memory: 850568043.4358, f_measure: 0.953, kappa: 0.796, kb_relative_information_score: 350.7967, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9527, predictive_accuracy: 0.9537, prior_entropy: 0.5744, recall: 0.9537, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6133, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, build_cpu_time: 0.1137, build_memory: 1370520631.1242, f_measure: 0.9345, kappa: 0.71, kb_relative_information_score: 316.0315, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9339, predictive_accuracy: 0.9368, prior_entropy: 0.5744, recall: 0.9368, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.228, root_relative_squared_error: 0.6678, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, build_cpu_time: 0.1027, build_memory: 1186177646.0632, f_measure: 0.9345, kappa: 0.71, kb_relative_information_score: 316.114, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9339, predictive_accuracy: 0.9368, prior_entropy: 0.5744, recall: 0.9368, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.228, root_relative_squared_error: 0.6677, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, build_cpu_time: 0.1032, build_memory: 1099011455.3095, f_measure: 0.937, kappa: 0.7216, kb_relative_information_score: 319.8488, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9364, predictive_accuracy: 0.9389, prior_entropy: 0.5744, recall: 0.9389, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.6527, scimark_benchmark: 933.4498,

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