Task
Supervised Classification on analcatdata_boxing2

Supervised Classification on analcatdata_boxing2

Task 3538 Supervised Classification analcatdata_boxing2 817 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8153, kappa: 0.6291, kb_relative_information_score: 60.8267, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.8268, predictive_accuracy: 0.8182, prior_entropy: 0.996, recall: 0.8182, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7798, kappa: 0.5565, kb_relative_information_score: 54.9488, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.996, recall: 0.7803, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7867, kappa: 0.5703, kb_relative_information_score: 45.8326, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7888, predictive_accuracy: 0.7879, prior_entropy: 0.996, recall: 0.7879, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.8007, kappa: 0.5992, kb_relative_information_score: 58.9206, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.808, predictive_accuracy: 0.803, prior_entropy: 0.996, recall: 0.803, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7798, kappa: 0.5565, kb_relative_information_score: 48.4364, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.996, recall: 0.7803, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.6747, kappa: 0.3485, kb_relative_information_score: 30.3126, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.6771, predictive_accuracy: 0.6742, prior_entropy: 0.996, recall: 0.6742, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7881, kappa: 0.5743, kb_relative_information_score: 66.3717, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7886, predictive_accuracy: 0.7879, prior_entropy: 0.996, recall: 0.7879, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7804, kappa: 0.5586, kb_relative_information_score: 66.8268, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7806, predictive_accuracy: 0.7803, prior_entropy: 0.996, recall: 0.7803, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 35.1696, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 54.4429, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7033, kappa: 0.4022, kb_relative_information_score: 14.8779, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.704, predictive_accuracy: 0.7045, prior_entropy: 0.996, recall: 0.7045, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 54.4429, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.6892, kappa: 0.3745, kb_relative_information_score: 17.9285, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.6891, predictive_accuracy: 0.6894, prior_entropy: 0.996, recall: 0.6894, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.8014, kappa: 0.6001, kb_relative_information_score: 68.012, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.8058, predictive_accuracy: 0.803, prior_entropy: 0.996, recall: 0.803, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8167, kappa: 0.6309, kb_relative_information_score: 64.4716, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.8213, predictive_accuracy: 0.8182, prior_entropy: 0.996, recall: 0.8182, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 48.9598, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.3763, kb_relative_information_score: -0.0279, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.2893, predictive_accuracy: 0.5379, prior_entropy: 0.996, recall: 0.5379, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.6747, kappa: 0.3485, kb_relative_information_score: 18.1219, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.6771, predictive_accuracy: 0.6742, prior_entropy: 0.996, recall: 0.6742, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 63.8233, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 63.8233, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7867, kappa: 0.5703, kb_relative_information_score: 43.518, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7888, predictive_accuracy: 0.7879, prior_entropy: 0.996, recall: 0.7879, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8098, kappa: 0.6168, kb_relative_information_score: 64.7527, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.8113, predictive_accuracy: 0.8106, prior_entropy: 0.996, recall: 0.8106, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7798, kappa: 0.5565, kb_relative_information_score: 48.4364, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.996, recall: 0.7803, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7576, kappa: 0.5124, kb_relative_information_score: 58.7793, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7576, predictive_accuracy: 0.7576, prior_entropy: 0.996, recall: 0.7576, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 87.6282, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7798, kappa: 0.5565, kb_relative_information_score: 48.4364, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.996, recall: 0.7803, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7867, kappa: 0.5703, kb_relative_information_score: 45.8326, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7888, predictive_accuracy: 0.7879, prior_entropy: 0.996, recall: 0.7879, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 87.6282, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8098, kappa: 0.6168, kb_relative_information_score: 64.7527, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.8113, predictive_accuracy: 0.8106, prior_entropy: 0.996, recall: 0.8106, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7798, kappa: 0.5565, kb_relative_information_score: 48.4364, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.996, recall: 0.7803, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 87.6282, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.6137, kappa: 0.2255, kb_relative_information_score: 10.2022, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.6205, predictive_accuracy: 0.6212, prior_entropy: 0.996, recall: 0.6212, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.6061, kappa: 0.2076, kb_relative_information_score: 26.524, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.6061, predictive_accuracy: 0.6061, prior_entropy: 0.996, recall: 0.6061, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.6431, kappa: 0.2813, kb_relative_information_score: 37.2241, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.643, predictive_accuracy: 0.6439, prior_entropy: 0.996, recall: 0.6439, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3763, kb_relative_information_score: 8.9978, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.2893, predictive_accuracy: 0.5379, prior_entropy: 0.996, recall: 0.5379, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.6798, root_relative_squared_error: 1.3635, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3763, kb_relative_information_score: 8.9978, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.2893, predictive_accuracy: 0.5379, prior_entropy: 0.996, recall: 0.5379, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.6798, root_relative_squared_error: 1.3635, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.6673, kappa: 0.3536, kb_relative_information_score: 49.3211, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7251, predictive_accuracy: 0.6894, prior_entropy: 0.996, recall: 0.6894, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1179, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3763, kb_relative_information_score: 8.9978, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.2893, predictive_accuracy: 0.5379, prior_entropy: 0.996, recall: 0.5379, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.6798, root_relative_squared_error: 1.3635, scimark_benchmark: 1328.8753, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.6673, kappa: 0.3536, kb_relative_information_score: 49.3211, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7251, predictive_accuracy: 0.6894, prior_entropy: 0.996, recall: 0.6894, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1179, scimark_benchmark: 1425.1357, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3763, kb_relative_information_score: 8.9978, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.2893, predictive_accuracy: 0.5379, prior_entropy: 0.996, recall: 0.5379, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.6798, root_relative_squared_error: 1.3635, scimark_benchmark: 1607.0984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7498, kappa: 0.4965, kb_relative_information_score: 55.7594, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9259, scimark_benchmark: 1918.4916, usercpu_time_millis: 593.75, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7198, kappa: 0.4368, kb_relative_information_score: 57.3146, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7201, predictive_accuracy: 0.7197, prior_entropy: 0.996, recall: 0.7197, relative_absolute_error: 0.5645, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0373, scimark_benchmark: 1918.4916, usercpu_time_millis: 734.375, usercpu_time_millis_training: 734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 87.6282, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8188, scimark_benchmark: 1427.64, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7578, kappa: 0.5168, kb_relative_information_score: 60.2208, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7636, predictive_accuracy: 0.7576, prior_entropy: 0.996, recall: 0.7576, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9712, scimark_benchmark: 1257.919, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7273, kappa: 0.4514, kb_relative_information_score: 57.0892, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7273, predictive_accuracy: 0.7273, prior_entropy: 0.996, recall: 0.7273, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0159, scimark_benchmark: 1360.6915, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.794, kappa: 0.5852, kb_relative_information_score: 77.5474, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7972, predictive_accuracy: 0.7955, prior_entropy: 0.996, recall: 0.7955, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9071, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7798, kappa: 0.5565, kb_relative_information_score: 48.4364, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.996, recall: 0.7803, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8089, scimark_benchmark: 1381.7771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 87.6282, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8188, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7572, kappa: 0.5112, kb_relative_information_score: 67.4666, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7573, predictive_accuracy: 0.7576, prior_entropy: 0.996, recall: 0.7576, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9876, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.7347, kappa: 0.466, kb_relative_information_score: 54.5383, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7346, predictive_accuracy: 0.7348, prior_entropy: 0.996, recall: 0.7348, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9309, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7729, kappa: 0.5439, kb_relative_information_score: 60.4246, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7735, predictive_accuracy: 0.7727, prior_entropy: 0.996, recall: 0.7727, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8375, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.6747, kappa: 0.3485, kb_relative_information_score: 18.1219, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.6771, predictive_accuracy: 0.6742, prior_entropy: 0.996, recall: 0.6742, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9224, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7724, kappa: 0.5418, kb_relative_information_score: 54.0192, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7725, predictive_accuracy: 0.7727, prior_entropy: 0.996, recall: 0.7727, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8192, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.8087, kappa: 0.615, kb_relative_information_score: 60.1024, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.8146, predictive_accuracy: 0.8106, prior_entropy: 0.996, recall: 0.8106, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7933, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 63.9183, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.779, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7793, kappa: 0.5555, kb_relative_information_score: 43.4283, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7807, predictive_accuracy: 0.7803, prior_entropy: 0.996, recall: 0.7803, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8047, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7798, kappa: 0.5565, kb_relative_information_score: 48.4364, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.996, recall: 0.7803, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8089, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8098, kappa: 0.6168, kb_relative_information_score: 64.7527, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.8113, predictive_accuracy: 0.8106, prior_entropy: 0.996, recall: 0.8106, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8013, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7798, kappa: 0.5565, kb_relative_information_score: 48.4364, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.996, recall: 0.7803, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8089, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 87.6282, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8188, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7572, kappa: 0.5112, kb_relative_information_score: 67.4666, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7573, predictive_accuracy: 0.7576, prior_entropy: 0.996, recall: 0.7576, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9876, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7347, kappa: 0.466, kb_relative_information_score: 54.4624, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7346, predictive_accuracy: 0.7348, prior_entropy: 0.996, recall: 0.7348, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9322, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7729, kappa: 0.5439, kb_relative_information_score: 60.4246, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7735, predictive_accuracy: 0.7727, prior_entropy: 0.996, recall: 0.7727, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8375, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.6747, kappa: 0.3485, kb_relative_information_score: 18.1219, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.6771, predictive_accuracy: 0.6742, prior_entropy: 0.996, recall: 0.6742, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9224, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7724, kappa: 0.5418, kb_relative_information_score: 54.0192, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7725, predictive_accuracy: 0.7727, prior_entropy: 0.996, recall: 0.7727, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8192, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.8167, kappa: 0.6309, kb_relative_information_score: 61.2104, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.8213, predictive_accuracy: 0.8182, prior_entropy: 0.996, recall: 0.8182, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.785, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8324, kappa: 0.6624, kb_relative_information_score: 63.9183, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.996, recall: 0.8333, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.779, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7867, kappa: 0.5703, kb_relative_information_score: 44.2673, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7888, predictive_accuracy: 0.7879, prior_entropy: 0.996, recall: 0.7879, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7988, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7798, kappa: 0.5565, kb_relative_information_score: 48.4364, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.996, recall: 0.7803, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8089, scimark_benchmark: 1744.8652,

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