Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24054 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, weighted_recall: 0.191, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558, unweighted_recall: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, weighted_recall: 0.191, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558, unweighted_recall: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, weighted_recall: 0.191, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558, unweighted_recall: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, weighted_recall: 0.191, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558, unweighted_recall: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, weighted_recall: 0.191, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558, unweighted_recall: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, weighted_recall: 0.191, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558, unweighted_recall: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.7413, kappa: 0.7228, kb_relative_information_score: 0.6241, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.18, weighted_recall: 0.7505, number_of_instances: 2000, precision: 0.7502, predictive_accuracy: 0.7505, prior_entropy: 3.3219, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.6759, unweighted_recall: 0.7505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, weighted_recall: 0.191, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558, unweighted_recall: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, weighted_recall: 0.191, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558, unweighted_recall: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7767, kappa: 0.7517, kb_relative_information_score: 0.7663, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.18, weighted_recall: 0.7765, number_of_instances: 2000, precision: 0.7798, predictive_accuracy: 0.7765, prior_entropy: 3.3219, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.7047, unweighted_recall: 0.7765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8185, kappa: 0.7983, kb_relative_information_score: 0.8267, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.18, weighted_recall: 0.8185, number_of_instances: 2000, precision: 0.8195, predictive_accuracy: 0.8185, prior_entropy: 3.3219, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.5143, unweighted_recall: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8392, kappa: 0.8211, kb_relative_information_score: 0.8637, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.18, weighted_recall: 0.839, number_of_instances: 2000, precision: 0.8404, predictive_accuracy: 0.839, prior_entropy: 3.3219, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4906, unweighted_recall: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.7785, kappa: 0.7628, kb_relative_information_score: 0.7767, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.18, weighted_recall: 0.7865, number_of_instances: 2000, precision: 0.7763, predictive_accuracy: 0.7865, prior_entropy: 3.3219, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6888, unweighted_recall: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7611, kappa: 0.7383, kb_relative_information_score: 0.7537, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, weighted_recall: 0.7645, number_of_instances: 2000, precision: 0.7606, predictive_accuracy: 0.7645, prior_entropy: 3.3219, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, unweighted_recall: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8115, kappa: 0.7922, kb_relative_information_score: 0.7386, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.18, weighted_recall: 0.813, number_of_instances: 2000, precision: 0.812, predictive_accuracy: 0.813, prior_entropy: 3.3219, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5648, unweighted_recall: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8314, kappa: 0.8139, kb_relative_information_score: 0.7305, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.18, weighted_recall: 0.8325, number_of_instances: 2000, precision: 0.8311, predictive_accuracy: 0.8325, prior_entropy: 3.3219, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5694, unweighted_recall: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.7927, kappa: 0.7694, kb_relative_information_score: 0.7865, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, weighted_recall: 0.7925, number_of_instances: 2000, precision: 0.7952, predictive_accuracy: 0.7925, prior_entropy: 3.3219, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.561, unweighted_recall: 0.7925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1915, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7553, kappa: 0.7272, kb_relative_information_score: 0.7433, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, weighted_recall: 0.7545, number_of_instances: 2000, precision: 0.7563, predictive_accuracy: 0.7545, prior_entropy: 3.3219, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7386, unweighted_recall: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7767, kappa: 0.7517, kb_relative_information_score: 0.7663, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.18, weighted_recall: 0.7765, number_of_instances: 2000, precision: 0.7798, predictive_accuracy: 0.7765, prior_entropy: 3.3219, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.7047, unweighted_recall: 0.7765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8176, kappa: 0.7978, kb_relative_information_score: 0.8272, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.18, weighted_recall: 0.818, number_of_instances: 2000, precision: 0.8183, predictive_accuracy: 0.818, prior_entropy: 3.3219, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.5143, unweighted_recall: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8392, kappa: 0.8211, kb_relative_information_score: 0.8637, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.18, weighted_recall: 0.839, number_of_instances: 2000, precision: 0.8404, predictive_accuracy: 0.839, prior_entropy: 3.3219, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4906, unweighted_recall: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.7785, kappa: 0.7628, kb_relative_information_score: 0.7767, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.18, weighted_recall: 0.7865, number_of_instances: 2000, precision: 0.7763, predictive_accuracy: 0.7865, prior_entropy: 3.3219, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6888, unweighted_recall: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7611, kappa: 0.7383, kb_relative_information_score: 0.7537, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, weighted_recall: 0.7645, number_of_instances: 2000, precision: 0.7606, predictive_accuracy: 0.7645, prior_entropy: 3.3219, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, unweighted_recall: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8115, kappa: 0.7922, kb_relative_information_score: 0.7386, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.18, weighted_recall: 0.813, number_of_instances: 2000, precision: 0.812, predictive_accuracy: 0.813, prior_entropy: 3.3219, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5648, unweighted_recall: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8338, kappa: 0.8161, kb_relative_information_score: 0.7319, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.18, weighted_recall: 0.8345, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8345, prior_entropy: 3.3219, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5682, unweighted_recall: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7872, kappa: 0.7628, kb_relative_information_score: 0.7881, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, weighted_recall: 0.7865, number_of_instances: 2000, precision: 0.7905, predictive_accuracy: 0.7865, prior_entropy: 3.3219, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5605, unweighted_recall: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1914, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7398, kappa: 0.71, kb_relative_information_score: 0.7271, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.18, weighted_recall: 0.739, number_of_instances: 2000, precision: 0.7411, predictive_accuracy: 0.739, prior_entropy: 3.3219, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7616, unweighted_recall: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1915, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7423, kappa: 0.7122, kb_relative_information_score: 0.7291, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.18, weighted_recall: 0.741, number_of_instances: 2000, precision: 0.7442, predictive_accuracy: 0.741, prior_entropy: 3.3219, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.7587, unweighted_recall: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7499, kappa: 0.72, kb_relative_information_score: 0.7365, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, weighted_recall: 0.748, number_of_instances: 2000, precision: 0.7522, predictive_accuracy: 0.748, prior_entropy: 3.3219, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.7483, unweighted_recall: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1915, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7533, kappa: 0.7261, kb_relative_information_score: 0.7422, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, weighted_recall: 0.7535, number_of_instances: 2000, precision: 0.7537, predictive_accuracy: 0.7535, prior_entropy: 3.3219, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, unweighted_recall: 0.7535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.757, kappa: 0.7289, kb_relative_information_score: 0.7448, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, weighted_recall: 0.756, number_of_instances: 2000, precision: 0.7585, predictive_accuracy: 0.756, prior_entropy: 3.3219, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7364, unweighted_recall: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1914, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7521, kappa: 0.7228, kb_relative_information_score: 0.7391, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, weighted_recall: 0.7505, number_of_instances: 2000, precision: 0.7542, predictive_accuracy: 0.7505, prior_entropy: 3.3219, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7446, unweighted_recall: 0.7505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1914, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7482, kappa: 0.7194, kb_relative_information_score: 0.7359, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, weighted_recall: 0.7475, number_of_instances: 2000, precision: 0.7492, predictive_accuracy: 0.7475, prior_entropy: 3.3219, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.7491, unweighted_recall: 0.7475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1914, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7575, kappa: 0.7289, kb_relative_information_score: 0.7448, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, weighted_recall: 0.756, number_of_instances: 2000, precision: 0.7592, predictive_accuracy: 0.756, prior_entropy: 3.3219, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7364, unweighted_recall: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1914, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7515, kappa: 0.7222, kb_relative_information_score: 0.7386, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, weighted_recall: 0.75, number_of_instances: 2000, precision: 0.7538, predictive_accuracy: 0.75, prior_entropy: 3.3219, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7454, unweighted_recall: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1914, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7528, kappa: 0.7244, kb_relative_information_score: 0.7407, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, weighted_recall: 0.752, number_of_instances: 2000, precision: 0.7541, predictive_accuracy: 0.752, prior_entropy: 3.3219, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.7424, unweighted_recall: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7586, kappa: 0.7289, kb_relative_information_score: 0.7448, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, weighted_recall: 0.756, number_of_instances: 2000, precision: 0.7618, predictive_accuracy: 0.756, prior_entropy: 3.3219, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7364, unweighted_recall: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7489, kappa: 0.7194, kb_relative_information_score: 0.7359, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, weighted_recall: 0.7475, number_of_instances: 2000, precision: 0.7506, predictive_accuracy: 0.7475, prior_entropy: 3.3219, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.7491, unweighted_recall: 0.7475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7473, kappa: 0.7178, kb_relative_information_score: 0.7344, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, weighted_recall: 0.746, number_of_instances: 2000, precision: 0.7495, predictive_accuracy: 0.746, prior_entropy: 3.3219, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.7513, unweighted_recall: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.748, kappa: 0.7189, kb_relative_information_score: 0.7354, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, weighted_recall: 0.747, number_of_instances: 2000, precision: 0.7497, predictive_accuracy: 0.747, prior_entropy: 3.3219, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.7498, unweighted_recall: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7509, kappa: 0.7222, kb_relative_information_score: 0.7386, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, weighted_recall: 0.75, number_of_instances: 2000, precision: 0.752, predictive_accuracy: 0.75, prior_entropy: 3.3219, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7454, unweighted_recall: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8317, kappa: 0.8139, kb_relative_information_score: 0.8248, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, weighted_recall: 0.8325, number_of_instances: 2000, precision: 0.8321, predictive_accuracy: 0.8325, prior_entropy: 3.3219, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6101, usercpu_time_millis: 42.32, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 41.76, unweighted_recall: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8046, kappa: 0.7811, kb_relative_information_score: 0.8069, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, weighted_recall: 0.803, number_of_instances: 2000, precision: 0.8067, predictive_accuracy: 0.803, prior_entropy: 3.3219, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5817, unweighted_recall: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8229, kappa: 0.8017, kb_relative_information_score: 0.828, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, weighted_recall: 0.8215, number_of_instances: 2000, precision: 0.8249, predictive_accuracy: 0.8215, prior_entropy: 3.3219, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5276, unweighted_recall: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8233, kappa: 0.8022, kb_relative_information_score: 0.8273, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, weighted_recall: 0.822, number_of_instances: 2000, precision: 0.8251, predictive_accuracy: 0.822, prior_entropy: 3.3219, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5239, unweighted_recall: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8114, kappa: 0.7894, kb_relative_information_score: 0.8201, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, weighted_recall: 0.8105, number_of_instances: 2000, precision: 0.8134, predictive_accuracy: 0.8105, prior_entropy: 3.3219, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5455, unweighted_recall: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8006, kappa: 0.7778, kb_relative_information_score: 0.7792, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.18, weighted_recall: 0.8, number_of_instances: 2000, precision: 0.8021, predictive_accuracy: 0.8, prior_entropy: 3.3219, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.163, root_relative_squared_error: 0.5433, unweighted_recall: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8168, kappa: 0.7961, kb_relative_information_score: 0.8187, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, weighted_recall: 0.8165, number_of_instances: 2000, precision: 0.8179, predictive_accuracy: 0.8165, prior_entropy: 3.3219, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5364, unweighted_recall: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8338, kappa: 0.815, kb_relative_information_score: 0.842, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8349, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.5115, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8101, kappa: 0.7894, kb_relative_information_score: 0.7998, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, weighted_recall: 0.8105, number_of_instances: 2000, precision: 0.8108, predictive_accuracy: 0.8105, prior_entropy: 3.3219, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.159, root_relative_squared_error: 0.5299, unweighted_recall: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8041, kappa: 0.7794, kb_relative_information_score: 0.8024, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, weighted_recall: 0.8015, number_of_instances: 2000, precision: 0.8075, predictive_accuracy: 0.8015, prior_entropy: 3.3219, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5869, unweighted_recall: 0.8015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.8094, kappa: 0.7872, kb_relative_information_score: 0.8173, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, weighted_recall: 0.8085, number_of_instances: 2000, precision: 0.8112, predictive_accuracy: 0.8085, prior_entropy: 3.3219, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.5471, unweighted_recall: 0.8085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8203, kappa: 0.7994, kb_relative_information_score: 0.8268, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.18, weighted_recall: 0.8195, number_of_instances: 2000, precision: 0.8218, predictive_accuracy: 0.8195, prior_entropy: 3.3219, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.541, unweighted_recall: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.7487, kappa: 0.7189, kb_relative_information_score: 0.7395, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, weighted_recall: 0.747, number_of_instances: 2000, precision: 0.7511, predictive_accuracy: 0.747, prior_entropy: 3.3219, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6521, unweighted_recall: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7976, kappa: 0.7733, kb_relative_information_score: 0.8068, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.18, weighted_recall: 0.796, number_of_instances: 2000, precision: 0.8003, predictive_accuracy: 0.796, prior_entropy: 3.3219, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5884, unweighted_recall: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.3667, kappa: 0.2906, kb_relative_information_score: 0.3409, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.18, weighted_recall: 0.3615, number_of_instances: 2000, precision: 0.3865, predictive_accuracy: 0.3615, prior_entropy: 3.3219, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3511, root_relative_squared_error: 1.1703, unweighted_recall: 0.3615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.7128, kappa: 0.6772, kb_relative_information_score: 0.7087, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, weighted_recall: 0.7095, number_of_instances: 2000, precision: 0.7205, predictive_accuracy: 0.7095, prior_entropy: 3.3219, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.221, root_relative_squared_error: 0.7367, unweighted_recall: 0.7095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8225, kappa: 0.8022, kb_relative_information_score: 0.8289, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, weighted_recall: 0.822, number_of_instances: 2000, precision: 0.8241, predictive_accuracy: 0.822, prior_entropy: 3.3219, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5357, unweighted_recall: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8101, kappa: 0.7867, kb_relative_information_score: 0.8176, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.18, weighted_recall: 0.808, number_of_instances: 2000, precision: 0.8138, predictive_accuracy: 0.808, prior_entropy: 3.3219, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.569, unweighted_recall: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8153, kappa: 0.7917, kb_relative_information_score: 0.8203, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, weighted_recall: 0.8125, number_of_instances: 2000, precision: 0.8197, predictive_accuracy: 0.8125, prior_entropy: 3.3219, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5334, unweighted_recall: 0.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8274, kappa: 0.8072, kb_relative_information_score: 0.8318, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, weighted_recall: 0.8265, number_of_instances: 2000, precision: 0.8294, predictive_accuracy: 0.8265, prior_entropy: 3.3219, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.5249, unweighted_recall: 0.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8079, kappa: 0.7867, kb_relative_information_score: 0.7951, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.18, weighted_recall: 0.808, number_of_instances: 2000, precision: 0.8089, predictive_accuracy: 0.808, prior_entropy: 3.3219, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.5322, unweighted_recall: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.7726, kappa: 0.745, kb_relative_information_score: 0.7776, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, weighted_recall: 0.7705, number_of_instances: 2000, precision: 0.7755, predictive_accuracy: 0.7705, prior_entropy: 3.3219, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.6284, unweighted_recall: 0.7705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.7997, kappa: 0.7756, kb_relative_information_score: 0.8062, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, weighted_recall: 0.798, number_of_instances: 2000, precision: 0.8021, predictive_accuracy: 0.798, prior_entropy: 3.3219, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5813, unweighted_recall: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.7986, kappa: 0.7756, kb_relative_information_score: 0.8136, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, weighted_recall: 0.798, number_of_instances: 2000, precision: 0.7998, predictive_accuracy: 0.798, prior_entropy: 3.3219, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5646, unweighted_recall: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8033, kappa: 0.7794, kb_relative_information_score: 0.8177, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, weighted_recall: 0.8015, number_of_instances: 2000, precision: 0.8057, predictive_accuracy: 0.8015, prior_entropy: 3.3219, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5611, unweighted_recall: 0.8015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8196, kappa: 0.7983, kb_relative_information_score: 0.8253, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.18, weighted_recall: 0.8185, number_of_instances: 2000, precision: 0.8213, predictive_accuracy: 0.8185, prior_entropy: 3.3219, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5332, unweighted_recall: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.7988, kappa: 0.7761, kb_relative_information_score: 0.8028, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, weighted_recall: 0.7985, number_of_instances: 2000, precision: 0.7998, predictive_accuracy: 0.7985, prior_entropy: 3.3219, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5624, unweighted_recall: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.7775, kappa: 0.7511, kb_relative_information_score: 0.7824, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.18, weighted_recall: 0.776, number_of_instances: 2000, precision: 0.7797, predictive_accuracy: 0.776, prior_entropy: 3.3219, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.5969, unweighted_recall: 0.776,

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

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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

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