Task
Supervised Classification on fri_c3_100_5

Supervised Classification on fri_c3_100_5

Task 3779 Supervised Classification fri_c3_100_5 956 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.7288, kappa: 0.4481, kb_relative_information_score: 37.9637, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7288, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.695, kappa: 0.3791, kb_relative_information_score: 22.2349, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6993, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6685, kappa: 0.3254, kb_relative_information_score: 20.7259, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6682, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.7383, kappa: 0.4672, kb_relative_information_score: 26.6455, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.739, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7858, kappa: 0.5643, kb_relative_information_score: 44.0033, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7953, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.5862, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7466, kappa: 0.4839, kb_relative_information_score: 44.7692, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8389, kappa: 0.6721, kb_relative_information_score: 69.032, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8407, predictive_accuracy: 0.84, prior_entropy: 0.99, recall: 0.84, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.7247, kappa: 0.4398, kb_relative_information_score: 29.1659, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.7994, kappa: 0.5922, kb_relative_information_score: 57.5668, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7995, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.756, kappa: 0.5033, kb_relative_information_score: 52.6218, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7622, predictive_accuracy: 0.76, prior_entropy: 0.99, recall: 0.76, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6671, kappa: 0.3221, kb_relative_information_score: 18.2098, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6676, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.7827, kappa: 0.5599, kb_relative_information_score: 48.9921, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8053, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6671, kappa: 0.3221, kb_relative_information_score: 18.2098, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6676, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.6793, kappa: 0.3504, kb_relative_information_score: 28.081, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6937, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8277, kappa: 0.6491, kb_relative_information_score: 54.9281, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8339, predictive_accuracy: 0.83, prior_entropy: 0.99, recall: 0.83, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7296, kappa: 0.4508, kb_relative_information_score: 30.3641, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7294, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.411, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.4021, kb_relative_information_score: -0.1765, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8074, kappa: 0.6078, kb_relative_information_score: 53.3417, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8131, predictive_accuracy: 0.81, prior_entropy: 0.99, recall: 0.81, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.756, kappa: 0.5033, kb_relative_information_score: 46.8827, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7622, predictive_accuracy: 0.76, prior_entropy: 0.99, recall: 0.76, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8074, kappa: 0.6078, kb_relative_information_score: 53.3417, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8131, predictive_accuracy: 0.81, prior_entropy: 0.99, recall: 0.81, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6764, kappa: 0.341, kb_relative_information_score: 34.6626, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6779, predictive_accuracy: 0.68, prior_entropy: 0.99, recall: 0.68, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7906, kappa: 0.577, kb_relative_information_score: 49.8669, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7926, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6685, kappa: 0.3254, kb_relative_information_score: 20.6932, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6682, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.6873, kappa: 0.3632, kb_relative_information_score: 18.2597, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6881, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.6671, kappa: 0.3221, kb_relative_information_score: 32.6221, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6676, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.6671, kappa: 0.3221, kb_relative_information_score: 32.6221, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6676, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8292, kappa: 0.6525, kb_relative_information_score: 52.3467, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.99, recall: 0.83, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7708, kappa: 0.5389, kb_relative_information_score: 46.0735, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7755, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7906, kappa: 0.577, kb_relative_information_score: 49.8669, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7926, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6685, kappa: 0.3254, kb_relative_information_score: 20.6932, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6682, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6857, kappa: 0.36, kb_relative_information_score: 21.9915, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6884, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6685, kappa: 0.3254, kb_relative_information_score: 20.6932, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6682, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8, kappa: 0.5942, kb_relative_information_score: 46.0096, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8097, kappa: 0.6135, kb_relative_information_score: 46.857, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8097, predictive_accuracy: 0.81, prior_entropy: 0.99, recall: 0.81, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7902, kappa: 0.5749, kb_relative_information_score: 57.1084, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7906, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7142, kappa: 0.4397, kb_relative_information_score: 46.9058, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.803, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0272, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6839, kappa: 0.3568, kb_relative_information_score: 36.7031, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1217, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.8, kappa: 0.5942, kb_relative_information_score: 59.1489, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9009, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.5057, kappa: -0.0066, kb_relative_information_score: -0.0264, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5039, predictive_accuracy: 0.51, prior_entropy: 0.99, recall: 0.51, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7, root_relative_squared_error: 1.4102, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6052, kappa: 0.2017, kb_relative_information_score: 13.4166, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.616, predictive_accuracy: 0.62, prior_entropy: 0.99, recall: 0.62, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.0372, scimark_benchmark: 1787.9841, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.6412, kappa: 0.2765, kb_relative_information_score: 21.6902, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6444, predictive_accuracy: 0.64, prior_entropy: 0.99, recall: 0.64, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0649, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.6612, kappa: 0.3119, kb_relative_information_score: 13.8889, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6695, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9859, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.6023, kappa: 0.1909, kb_relative_information_score: 9.6631, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6047, predictive_accuracy: 0.61, prior_entropy: 0.99, recall: 0.61, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9828, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.5679, kappa: 0.1321, kb_relative_information_score: 16.2978, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.582, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2899, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6764, kappa: 0.341, kb_relative_information_score: 34.6626, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6779, predictive_accuracy: 0.68, prior_entropy: 0.99, recall: 0.68, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 1473.7781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.7288, kappa: 0.4481, kb_relative_information_score: 37.9637, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7288, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9433, scimark_benchmark: 951.2343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.7288, kappa: 0.4481, kb_relative_information_score: 37.9637, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7288, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9433, scimark_benchmark: 966.0518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7393, kappa: 0.4698, kb_relative_information_score: 31.0049, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7391, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8717, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.74, kappa: 0.4874, kb_relative_information_score: 39.5058, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7807, kappa: 0.5621, kb_relative_information_score: 55.6203, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7914, predictive_accuracy: 0.78, prior_entropy: 0.99, recall: 0.78, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7842, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8091, kappa: 0.6116, kb_relative_information_score: 46.9265, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8097, predictive_accuracy: 0.81, prior_entropy: 0.99, recall: 0.81, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7446, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.768, kappa: 0.5275, kb_relative_information_score: 38.3381, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7699, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8428, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.756, kappa: 0.5033, kb_relative_information_score: 46.8827, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7622, predictive_accuracy: 0.76, prior_entropy: 0.99, recall: 0.76, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.784, scimark_benchmark: 1873.1108,

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