OpenML
Supervised Classification on haberman

Supervised Classification on haberman

Task 1922 Supervised Classification haberman 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.6522, kappa: 0.051, kb_relative_information_score: -11.1079, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6422, predictive_accuracy: 0.7127, prior_entropy: 0.836, recall: 0.7127, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.446, root_relative_squared_error: 1.0109, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.7046, kappa: 0.2076, kb_relative_information_score: -225.4456, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.697, predictive_accuracy: 0.7242, prior_entropy: 0.836, recall: 0.7242, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9913, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.6967, kappa: 0.1955, kb_relative_information_score: 133.6146, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.689, predictive_accuracy: 0.7095, prior_entropy: 0.836, recall: 0.7095, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.032, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.7068, kappa: 0.2001, kb_relative_information_score: 896.077, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7178, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1333, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.7068, kappa: 0.2001, kb_relative_information_score: 896.077, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7178, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1333, scimark_benchmark: 941.3142, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.6785, kappa: 0.1238, kb_relative_information_score: 65.2328, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6727, predictive_accuracy: 0.7209, prior_entropy: 0.836, recall: 0.7209, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.0029, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.7041, kappa: 0.1936, kb_relative_information_score: 225.9065, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7077, predictive_accuracy: 0.7431, prior_entropy: 0.836, recall: 0.7431, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9775, scimark_benchmark: 943.8235, usercpu_time_millis: 370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6721, kappa: 0.1426, kb_relative_information_score: 66.1397, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6666, predictive_accuracy: 0.6788, prior_entropy: 0.836, recall: 0.6788, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0773, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.7068, kappa: 0.2001, kb_relative_information_score: 896.077, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7178, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1333, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.6774, kappa: 0.1219, kb_relative_information_score: 122.4296, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6695, predictive_accuracy: 0.7167, prior_entropy: 0.836, recall: 0.7167, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.0162, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6721, kappa: 0.1426, kb_relative_information_score: 66.1397, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6666, predictive_accuracy: 0.6788, prior_entropy: 0.836, recall: 0.6788, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0773, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.6522, kappa: 0.051, kb_relative_information_score: -11.1079, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6422, predictive_accuracy: 0.7127, prior_entropy: 0.836, recall: 0.7127, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.446, root_relative_squared_error: 1.0109, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.7046, kappa: 0.2076, kb_relative_information_score: -225.4456, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.697, predictive_accuracy: 0.7242, prior_entropy: 0.836, recall: 0.7242, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9916, scimark_benchmark: 935.2002, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.6967, kappa: 0.1955, kb_relative_information_score: 133.6146, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.689, predictive_accuracy: 0.7095, prior_entropy: 0.836, recall: 0.7095, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.032, scimark_benchmark: 608.4057, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.7068, kappa: 0.2001, kb_relative_information_score: 896.077, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7178, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1333, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.7068, kappa: 0.2001, kb_relative_information_score: 896.077, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7178, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1333, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.6807, kappa: 0.1323, kb_relative_information_score: 124.1404, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6722, predictive_accuracy: 0.716, prior_entropy: 0.836, recall: 0.716, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9901, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.6785, kappa: 0.1238, kb_relative_information_score: 65.2328, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6727, predictive_accuracy: 0.7209, prior_entropy: 0.836, recall: 0.7209, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.0029, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.7041, kappa: 0.1936, kb_relative_information_score: 225.9065, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7077, predictive_accuracy: 0.7431, prior_entropy: 0.836, recall: 0.7431, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9775, scimark_benchmark: 917.5013, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.6774, kappa: 0.1219, kb_relative_information_score: 122.4296, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6695, predictive_accuracy: 0.7167, prior_entropy: 0.836, recall: 0.7167, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.0162, scimark_benchmark: 941.3057, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6721, kappa: 0.1426, kb_relative_information_score: 66.1397, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6666, predictive_accuracy: 0.6788, prior_entropy: 0.836, recall: 0.6788, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0773, scimark_benchmark: 901.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.6604, kappa: 0.0761, kb_relative_information_score: 110.0852, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.671, predictive_accuracy: 0.7307, prior_entropy: 0.836, recall: 0.7307, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9749, scimark_benchmark: 936.2727, usercpu_time_millis: 890, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6599, kappa: 0.074, kb_relative_information_score: 111.3855, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.666, predictive_accuracy: 0.7281, prior_entropy: 0.836, recall: 0.7281, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9751, scimark_benchmark: 926.5462, usercpu_time_millis: 420, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.6564, kappa: 0.065, kb_relative_information_score: 104.261, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6607, predictive_accuracy: 0.7265, prior_entropy: 0.836, recall: 0.7265, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9771, scimark_benchmark: 922.613, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.6574, kappa: 0.067, kb_relative_information_score: 95.9637, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6601, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9803, scimark_benchmark: 896.2181, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.657, kappa: 0.0661, kb_relative_information_score: 97.1988, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6597, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.982, scimark_benchmark: 894.7131, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.7281, kappa: 0.2665, kb_relative_information_score: 290.2991, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7251, predictive_accuracy: 0.7503, prior_entropy: 0.836, recall: 0.7503, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9794, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.7281, kappa: 0.2665, kb_relative_information_score: 290.2991, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7251, predictive_accuracy: 0.7503, prior_entropy: 0.836, recall: 0.7503, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9794, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.7281, kappa: 0.2665, kb_relative_information_score: 290.2991, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7251, predictive_accuracy: 0.7503, prior_entropy: 0.836, recall: 0.7503, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9794, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.7281, kappa: 0.2665, kb_relative_information_score: 290.2991, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7251, predictive_accuracy: 0.7503, prior_entropy: 0.836, recall: 0.7503, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9794, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.7281, kappa: 0.2664, kb_relative_information_score: 286.7529, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7254, predictive_accuracy: 0.7507, prior_entropy: 0.836, recall: 0.7507, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9786, scimark_benchmark: 894.7131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6995, kappa: 0.1832, kb_relative_information_score: 755.997, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6966, predictive_accuracy: 0.7337, prior_entropy: 0.836, recall: 0.7337, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0781, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.7046, kappa: 0.2076, kb_relative_information_score: -225.4456, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.697, predictive_accuracy: 0.7242, prior_entropy: 0.836, recall: 0.7242, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9913, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.6807, kappa: 0.1323, kb_relative_information_score: 124.1404, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6722, predictive_accuracy: 0.716, prior_entropy: 0.836, recall: 0.716, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9901, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.6785, kappa: 0.1238, kb_relative_information_score: 65.2328, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6727, predictive_accuracy: 0.7209, prior_entropy: 0.836, recall: 0.7209, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.0029, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.6774, kappa: 0.1219, kb_relative_information_score: 122.4296, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6695, predictive_accuracy: 0.7167, prior_entropy: 0.836, recall: 0.7167, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.0162, scimark_benchmark: 1325.4787, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6721, kappa: 0.1426, kb_relative_information_score: 66.1397, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6666, predictive_accuracy: 0.6788, prior_entropy: 0.836, recall: 0.6788, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0773, scimark_benchmark: 1320.8283, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.6389, kappa: 0.0684, kb_relative_information_score: -47.9413, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6374, predictive_accuracy: 0.6405, prior_entropy: 0.836, recall: 0.6405, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.359, scimark_benchmark: 1330.9181, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.7046, kappa: 0.2076, kb_relative_information_score: -225.4456, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.697, predictive_accuracy: 0.7242, prior_entropy: 0.836, recall: 0.7242, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9913, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.6967, kappa: 0.1955, kb_relative_information_score: 133.6146, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.689, predictive_accuracy: 0.7095, prior_entropy: 0.836, recall: 0.7095, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.032, scimark_benchmark: 1318.6467, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.7068, kappa: 0.2001, kb_relative_information_score: 896.077, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7178, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1333, scimark_benchmark: 1314.1215, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.7041, kappa: 0.1936, kb_relative_information_score: 225.9117, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7077, predictive_accuracy: 0.7431, prior_entropy: 0.836, recall: 0.7431, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9775, scimark_benchmark: 1351.1238, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.6522, kappa: 0.051, kb_relative_information_score: -11.1079, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6422, predictive_accuracy: 0.7127, prior_entropy: 0.836, recall: 0.7127, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.446, root_relative_squared_error: 1.0109, scimark_benchmark: 1318.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.7046, kappa: 0.2076, kb_relative_information_score: -225.4456, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.697, predictive_accuracy: 0.7242, prior_entropy: 0.836, recall: 0.7242, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9913, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.7068, kappa: 0.2001, kb_relative_information_score: 896.077, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7178, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1333, scimark_benchmark: 1350.4825, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6721, kappa: 0.1426, kb_relative_information_score: 66.1397, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6666, predictive_accuracy: 0.6788, prior_entropy: 0.836, recall: 0.6788, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0773, scimark_benchmark: 1370.3901, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.6933, kappa: 0.1647, kb_relative_information_score: 80.4768, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6909, predictive_accuracy: 0.7314, prior_entropy: 0.836, recall: 0.7314, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4485, root_relative_squared_error: 1.0165, scimark_benchmark: 1363.1824,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs