Task
Supervised Classification on autoUniv-au1-1000

Supervised Classification on autoUniv-au1-1000

Task 9909 Supervised Classification autoUniv-au1-1000 581 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.7858, kappa: 0.4084, kb_relative_information_score: 202.2234, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.8036, predictive_accuracy: 0.81, prior_entropy: 0.826, recall: 0.81, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.8939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6308, kb_relative_information_score: 19.5848, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.6308, kb_relative_information_score: -15.4276, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.7916, kappa: 0.4255, kb_relative_information_score: 248.398, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.8057, predictive_accuracy: 0.813, prior_entropy: 0.826, recall: 0.813, relative_absolute_error: 0.7727, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: -0.2949, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, f_measure: 0.7107, kappa: 0.1991, kb_relative_information_score: 79.6484, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7116, predictive_accuracy: 0.747, prior_entropy: 0.826, recall: 0.747, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4491, root_relative_squared_error: 1.0252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.7114, kappa: 0.2416, kb_relative_information_score: 201.5511, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.709, predictive_accuracy: 0.714, prior_entropy: 0.826, recall: 0.714, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.658, kappa: 0.0524, kb_relative_information_score: 33.868, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6567, predictive_accuracy: 0.729, prior_entropy: 0.826, recall: 0.729, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4403, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.7522, kappa: 0.317, kb_relative_information_score: 130.811, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7578, predictive_accuracy: 0.778, prior_entropy: 0.826, recall: 0.778, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7351, kappa: 0.2642, kb_relative_information_score: 91.3284, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7714, predictive_accuracy: 0.78, prior_entropy: 0.826, recall: 0.78, relative_absolute_error: 0.8916, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.7143, kappa: 0.2074, kb_relative_information_score: 35.6161, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7225, predictive_accuracy: 0.755, prior_entropy: 0.826, recall: 0.755, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.6504, kappa: 0.0353, kb_relative_information_score: 32.2205, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6525, predictive_accuracy: 0.732, prior_entropy: 0.826, recall: 0.732, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.6308, kb_relative_information_score: 250.7023, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: -0.2949, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.7867, kappa: 0.4148, kb_relative_information_score: 210.7703, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7929, predictive_accuracy: 0.805, prior_entropy: 0.826, recall: 0.805, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.6401, kappa: 0.0227, kb_relative_information_score: 33.2815, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.8103, predictive_accuracy: 0.745, prior_entropy: 0.826, recall: 0.745, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: -0.2949, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.7475, kappa: 0.3026, kb_relative_information_score: 128.0316, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7551, predictive_accuracy: 0.776, prior_entropy: 0.826, recall: 0.776, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.41, root_relative_squared_error: 0.9359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: 0.4282, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7473, kappa: 0.3004, kb_relative_information_score: 126.2949, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7601, predictive_accuracy: 0.779, prior_entropy: 0.826, recall: 0.779, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.7633, kappa: 0.3524, kb_relative_information_score: 229.6983, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7639, predictive_accuracy: 0.782, prior_entropy: 0.826, recall: 0.782, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.658, kappa: 0.0524, kb_relative_information_score: 32.6673, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6567, predictive_accuracy: 0.729, prior_entropy: 0.826, recall: 0.729, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.651, kappa: 0.0333, kb_relative_information_score: 17.7392, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6423, predictive_accuracy: 0.724, prior_entropy: 0.826, recall: 0.724, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6308, kb_relative_information_score: 252.9107, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.6475, kappa: 0.0285, kb_relative_information_score: 36.0971, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6483, predictive_accuracy: 0.732, prior_entropy: 0.826, recall: 0.732, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6308, kb_relative_information_score: 252.9107, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.6668, kappa: 0.0747, kb_relative_information_score: 38.6438, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6622, predictive_accuracy: 0.726, prior_entropy: 0.826, recall: 0.726, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7473, kappa: 0.3004, kb_relative_information_score: 103.2941, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7601, predictive_accuracy: 0.779, prior_entropy: 0.826, recall: 0.779, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.7633, kappa: 0.3524, kb_relative_information_score: 229.6983, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7639, predictive_accuracy: 0.782, prior_entropy: 0.826, recall: 0.782, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6308, kb_relative_information_score: 252.9107, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6561, kappa: 0.0456, kb_relative_information_score: 28.1107, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6471, predictive_accuracy: 0.722, prior_entropy: 0.826, recall: 0.722, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.7193, kappa: 0.2207, kb_relative_information_score: 93.948, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7548, predictive_accuracy: 0.77, prior_entropy: 0.826, recall: 0.77, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.7197, kappa: 0.2396, kb_relative_information_score: 53.8156, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7128, predictive_accuracy: 0.736, prior_entropy: 0.826, recall: 0.736, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.6933, kappa: 0.2167, kb_relative_information_score: 100.2117, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6998, predictive_accuracy: 0.688, prior_entropy: 0.826, recall: 0.688, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.7342, kappa: 0.2904, kb_relative_information_score: 198.9829, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7291, predictive_accuracy: 0.742, prior_entropy: 0.826, recall: 0.742, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4383, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7423, kappa: 0.288, kb_relative_information_score: 118.8694, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7493, predictive_accuracy: 0.772, prior_entropy: 0.826, recall: 0.772, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.7334, kappa: 0.2628, kb_relative_information_score: 93.416, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7391, predictive_accuracy: 0.765, prior_entropy: 0.826, recall: 0.765, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7292, kappa: 0.2856, kb_relative_information_score: 191.3647, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7261, predictive_accuracy: 0.733, prior_entropy: 0.826, recall: 0.733, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4812, root_relative_squared_error: 1.0985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.763, kappa: 0.3522, kb_relative_information_score: 233.7354, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7629, predictive_accuracy: 0.781, prior_entropy: 0.826, recall: 0.781, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7759, kappa: 0.3862, kb_relative_information_score: 220.296, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7789, predictive_accuracy: 0.794, prior_entropy: 0.826, recall: 0.794, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7705, kappa: 0.3654, kb_relative_information_score: 175.2154, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7877, predictive_accuracy: 0.798, prior_entropy: 0.826, recall: 0.798, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7559, kappa: 0.3342, kb_relative_information_score: 222.2608, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7538, predictive_accuracy: 0.773, prior_entropy: 0.826, recall: 0.773, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.779, kappa: 0.3908, kb_relative_information_score: 193.5088, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7908, predictive_accuracy: 0.802, prior_entropy: 0.826, recall: 0.802, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.7334, kappa: 0.2628, kb_relative_information_score: 93.416, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7391, predictive_accuracy: 0.765, prior_entropy: 0.826, recall: 0.765, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.7655, kappa: 0.3524, kb_relative_information_score: 174.0013, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7779, predictive_accuracy: 0.792, prior_entropy: 0.826, recall: 0.792, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7423, kappa: 0.288, kb_relative_information_score: 118.8694, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7493, predictive_accuracy: 0.772, prior_entropy: 0.826, recall: 0.772, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.779, kappa: 0.3908, kb_relative_information_score: 193.5088, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7908, predictive_accuracy: 0.802, prior_entropy: 0.826, recall: 0.802, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.7334, kappa: 0.2628, kb_relative_information_score: 93.416, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7391, predictive_accuracy: 0.765, prior_entropy: 0.826, recall: 0.765, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7423, kappa: 0.288, kb_relative_information_score: 118.8694, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7493, predictive_accuracy: 0.772, prior_entropy: 0.826, recall: 0.772, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7759, kappa: 0.3862, kb_relative_information_score: 220.296, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7789, predictive_accuracy: 0.794, prior_entropy: 0.826, recall: 0.794, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.7727, kappa: 0.3767, kb_relative_information_score: 238.5241, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7763, predictive_accuracy: 0.792, prior_entropy: 0.826, recall: 0.792, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.7837, kappa: 0.4045, kb_relative_information_score: 223.6916, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7941, predictive_accuracy: 0.805, prior_entropy: 0.826, recall: 0.805, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7705, kappa: 0.3654, kb_relative_information_score: 175.2154, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7877, predictive_accuracy: 0.798, prior_entropy: 0.826, recall: 0.798, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.7732, kappa: 0.3785, kb_relative_information_score: 241.7568, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7763, predictive_accuracy: 0.792, prior_entropy: 0.826, recall: 0.792, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: 0.4286, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.7303, kappa: 0.2509, kb_relative_information_score: 119.1434, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7635, predictive_accuracy: 0.776, prior_entropy: 0.826, recall: 0.776, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.7334, kappa: 0.2628, kb_relative_information_score: 93.416, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7391, predictive_accuracy: 0.765, prior_entropy: 0.826, recall: 0.765, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7423, kappa: 0.288, kb_relative_information_score: 118.8694, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7493, predictive_accuracy: 0.772, prior_entropy: 0.826, recall: 0.772, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.6448, kappa: 0.0289, kb_relative_information_score: 9.0187, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6815, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7705, kappa: 0.3654, kb_relative_information_score: 175.2154, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7877, predictive_accuracy: 0.798, prior_entropy: 0.826, recall: 0.798, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.7334, kappa: 0.2628, kb_relative_information_score: 93.416, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7391, predictive_accuracy: 0.765, prior_entropy: 0.826, recall: 0.765, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: 0.4286, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.7655, kappa: 0.3524, kb_relative_information_score: 174.0013, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7779, predictive_accuracy: 0.792, prior_entropy: 0.826, recall: 0.792, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.7376, kappa: 0.2716, kb_relative_information_score: 125.7498, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7629, predictive_accuracy: 0.778, prior_entropy: 0.826, recall: 0.778, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.9461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.7719, kappa: 0.3746, kb_relative_information_score: 238.2349, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.775, predictive_accuracy: 0.791, prior_entropy: 0.826, recall: 0.791, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.7771, kappa: 0.3887, kb_relative_information_score: 221.6883, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7814, predictive_accuracy: 0.796, prior_entropy: 0.826, recall: 0.796, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.6308, kb_relative_information_score: 0.4286, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.5491, predictive_accuracy: 0.741, prior_entropy: 0.826, recall: 0.741, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7423, kappa: 0.288, kb_relative_information_score: 118.8694, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7493, predictive_accuracy: 0.772, prior_entropy: 0.826, recall: 0.772, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.7719, kappa: 0.3746, kb_relative_information_score: 238.2349, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.775, predictive_accuracy: 0.791, prior_entropy: 0.826, recall: 0.791, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.7821, kappa: 0.3992, kb_relative_information_score: 207.9121, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7951, predictive_accuracy: 0.805, prior_entropy: 0.826, recall: 0.805, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8987,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs