Task
Supervised Classification on analcatdata_apnea2

Supervised Classification on analcatdata_apnea2

Task 3631 Supervised Classification analcatdata_apnea2 531 runs submitted
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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: 946.8777, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9376, kappa: 0.7361, kb_relative_information_score: 298.4689, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9387, predictive_accuracy: 0.9368, prior_entropy: 0.5744, recall: 0.9368, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.604, scimark_benchmark: 922.5036,
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: 952.4682, usercpu_time_millis: 1190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 942.3809,
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: 952.4682, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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: 949.7766, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 282.7774, mean_absolute_error: 0.0837, 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: 0.3571, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.6235, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9113, kappa: 0.6021, kb_relative_information_score: 251.7135, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.91, predictive_accuracy: 0.9158, prior_entropy: 0.5744, recall: 0.9158, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.6449, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9376, kappa: 0.7361, kb_relative_information_score: 298.4689, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9387, predictive_accuracy: 0.9368, prior_entropy: 0.5744, recall: 0.9368, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.604, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 1342.8632,
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: 1318.6467, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1340.9446, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 282.7774, mean_absolute_error: 0.0837, 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: 0.3571, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.6235, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9113, kappa: 0.6021, kb_relative_information_score: 251.7135, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.91, predictive_accuracy: 0.9158, prior_entropy: 0.5744, recall: 0.9158, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.6449, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 282.7774, mean_absolute_error: 0.0837, 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: 0.3571, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.6235, scimark_benchmark: 1316.5396,
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: 1349.1517, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 282.7774, mean_absolute_error: 0.0837, 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: 0.3571, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.6235, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 1324.8408,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 282.7774, mean_absolute_error: 0.0837, 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: 0.3571, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.6235, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9113, kappa: 0.6021, kb_relative_information_score: 251.7135, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.91, predictive_accuracy: 0.9158, prior_entropy: 0.5744, recall: 0.9158, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.6449, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 1306.9281,
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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: 1324.8408, usercpu_time_millis: 700, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 287.1265, mean_absolute_error: 0.0909, 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: 0.388, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5951, scimark_benchmark: 1350.2591,
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: 1350.2591, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 282.7774, mean_absolute_error: 0.0837, 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: 0.3571, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.6235, scimark_benchmark: 1333.6736,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.9298, kappa: 0.696, kb_relative_information_score: 274.1063, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9292, predictive_accuracy: 0.9305, prior_entropy: 0.5744, recall: 0.9305, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.7141, scimark_benchmark: 1059.8591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8127, kappa: 0.0529, kb_relative_information_score: 139.1042, mean_absolute_error: 0.1818, 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: 0.7759, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.8006, scimark_benchmark: 1349.9917, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9441, kappa: 0.764, kb_relative_information_score: 301.6461, mean_absolute_error: 0.0787, 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: 0.3357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.6036, scimark_benchmark: 854.5188, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 302.5746, mean_absolute_error: 0.0794, 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: 0.339, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.5933, scimark_benchmark: 1341.4232,
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: 1449.4352, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 155.5017, mean_absolute_error: 0.1438, 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: 0.6137, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.6614, scimark_benchmark: 1334.2049, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9113, kappa: 0.6021, kb_relative_information_score: 251.7135, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.91, predictive_accuracy: 0.9158, prior_entropy: 0.5744, recall: 0.9158, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.6449, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8028, kb_relative_information_score: 126.8059, mean_absolute_error: 0.1868, 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: 0.7975, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.8168, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 282.7774, mean_absolute_error: 0.0837, 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: 0.3571, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.6235, scimark_benchmark: 1346.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9447, kappa: 0.7699, kb_relative_information_score: 290.6931, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9474, predictive_accuracy: 0.9432, prior_entropy: 0.5744, recall: 0.9432, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.6013, scimark_benchmark: 896.937, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8524, kappa: 0.2643, kb_relative_information_score: 208.9192, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9012, predictive_accuracy: 0.8884, prior_entropy: 0.5744, recall: 0.8884, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.7512, scimark_benchmark: 904.3681, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8999, kappa: 0.518, kb_relative_information_score: 166.5155, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9197, predictive_accuracy: 0.9158, prior_entropy: 0.5744, recall: 0.9158, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.7441, scimark_benchmark: 1319.4881, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.9288, kappa: 0.6876, kb_relative_information_score: 294.2784, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9279, predictive_accuracy: 0.9305, prior_entropy: 0.5744, recall: 0.9305, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.7719, scimark_benchmark: 1296.8947, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.8028, kb_relative_information_score: -1004.3699, mean_absolute_error: 0.4547, 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: 1.941, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.3459, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.9277, kappa: 0.6787, kb_relative_information_score: 294.2784, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9269, predictive_accuracy: 0.9305, prior_entropy: 0.5744, recall: 0.9305, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.7719, scimark_benchmark: 1288.1375, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.8697, kappa: 0.3588, kb_relative_information_score: 110.0883, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9014, predictive_accuracy: 0.8968, prior_entropy: 0.5744, recall: 0.8968, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.891, scimark_benchmark: 1301.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 155.5017, mean_absolute_error: 0.1438, 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: 0.6137, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.6614, scimark_benchmark: 1340.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8028, kb_relative_information_score: 136.4382, mean_absolute_error: 0.1832, 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: 0.7821, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8048, scimark_benchmark: 1292.1375, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1321.5205, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9391, kappa: 0.7399, kb_relative_information_score: 250.1938, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9394, predictive_accuracy: 0.9389, prior_entropy: 0.5744, recall: 0.9389, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.6182, scimark_benchmark: 909.1698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs