Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 20275 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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20275 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.6373, kappa: 0.5961, kb_relative_information_score: 0.6199, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6703, predictive_accuracy: 0.6365, prior_entropy: 3.3219, recall: 0.6365, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.6924, kappa: 0.6639, kb_relative_information_score: 0.6837, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6961, predictive_accuracy: 0.6975, prior_entropy: 3.3219, recall: 0.6975, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.246, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7276, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7292, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7273, kappa: 0.6983, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7293, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7243, kappa: 0.6956, kb_relative_information_score: 0.7135, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7261, predictive_accuracy: 0.726, prior_entropy: 3.3219, recall: 0.726, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7279, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7296, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7115, kappa: 0.6833, kb_relative_information_score: 0.702, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7108, predictive_accuracy: 0.715, prior_entropy: 3.3219, recall: 0.715, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7317, kappa: 0.7033, kb_relative_information_score: 0.7208, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7388, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.6674, kappa: 0.6256, kb_relative_information_score: 0.6476, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.685, predictive_accuracy: 0.663, prior_entropy: 3.3219, recall: 0.663, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.8654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.6921, kappa: 0.6594, kb_relative_information_score: 0.6795, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6985, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.6655, kappa: 0.6311, kb_relative_information_score: 0.6528, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6809, predictive_accuracy: 0.668, prior_entropy: 3.3219, recall: 0.668, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7252, kappa: 0.6961, kb_relative_information_score: 0.714, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7271, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7241, kappa: 0.695, kb_relative_information_score: 0.7129, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7259, predictive_accuracy: 0.7255, prior_entropy: 3.3219, recall: 0.7255, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.727, kappa: 0.6983, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7291, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7288, kappa: 0.7, kb_relative_information_score: 0.7176, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7306, predictive_accuracy: 0.73, prior_entropy: 3.3219, recall: 0.73, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7262, kappa: 0.6972, kb_relative_information_score: 0.715, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7283, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7275, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7293, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7272, kappa: 0.6983, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7292, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7257, kappa: 0.6967, kb_relative_information_score: 0.7145, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.727, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7258, kappa: 0.6967, kb_relative_information_score: 0.7145, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7278, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.6674, kappa: 0.6317, kb_relative_information_score: 0.6533, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6835, predictive_accuracy: 0.6685, prior_entropy: 3.3219, recall: 0.6685, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7256, kappa: 0.6967, kb_relative_information_score: 0.7145, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7275, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7333, kappa: 0.7089, kb_relative_information_score: 0.726, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7421, predictive_accuracy: 0.738, prior_entropy: 3.3219, recall: 0.738, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7277, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7293, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.704, kappa: 0.6761, kb_relative_information_score: 0.6952, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7053, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7253, kappa: 0.6961, kb_relative_information_score: 0.714, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7272, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7247, kappa: 0.6956, kb_relative_information_score: 0.7135, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7267, predictive_accuracy: 0.726, prior_entropy: 3.3219, recall: 0.726, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7265, kappa: 0.6972, kb_relative_information_score: 0.715, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7285, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7253, kappa: 0.6961, kb_relative_information_score: 0.714, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7271, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7211, kappa: 0.6928, kb_relative_information_score: 0.7108, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7218, predictive_accuracy: 0.7235, prior_entropy: 3.3219, recall: 0.7235, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7302, kappa: 0.7078, kb_relative_information_score: 0.725, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7409, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7131, kappa: 0.6861, kb_relative_information_score: 0.7046, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7216, predictive_accuracy: 0.7175, prior_entropy: 3.3219, recall: 0.7175, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.7923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7222, kappa: 0.6928, kb_relative_information_score: 0.7108, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.724, predictive_accuracy: 0.7235, prior_entropy: 3.3219, recall: 0.7235, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7262, kappa: 0.6972, kb_relative_information_score: 0.715, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7282, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7335, kappa: 0.7078, kb_relative_information_score: 0.725, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7408, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7295, kappa: 0.7039, kb_relative_information_score: 0.7213, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7377, predictive_accuracy: 0.7335, prior_entropy: 3.3219, recall: 0.7335, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.7696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7272, kappa: 0.7022, kb_relative_information_score: 0.7197, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7369, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7198, kappa: 0.7056, kb_relative_information_score: 0.7229, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7381, predictive_accuracy: 0.735, prior_entropy: 3.3219, recall: 0.735, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.7674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7242, kappa: 0.6956, kb_relative_information_score: 0.7135, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7252, predictive_accuracy: 0.726, prior_entropy: 3.3219, recall: 0.726, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7087, kappa: 0.7022, kb_relative_information_score: 0.7197, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7221, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7102, kappa: 0.7078, kb_relative_information_score: 0.725, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7428, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7293, kappa: 0.7022, kb_relative_information_score: 0.7197, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7365, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7277, kappa: 0.705, kb_relative_information_score: 0.7224, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7379, predictive_accuracy: 0.7345, prior_entropy: 3.3219, recall: 0.7345, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.7681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7265, kappa: 0.6972, kb_relative_information_score: 0.715, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7285, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7262, kappa: 0.6972, kb_relative_information_score: 0.715, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.728, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7263, kappa: 0.6972, kb_relative_information_score: 0.715, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7281, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7303, kappa: 0.7028, kb_relative_information_score: 0.7203, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7362, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.6177, kappa: 0.57, kb_relative_information_score: 0.5953, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6659, predictive_accuracy: 0.613, prior_entropy: 3.3219, recall: 0.613, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7254, kappa: 0.6961, kb_relative_information_score: 0.714, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7275, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7249, kappa: 0.6956, kb_relative_information_score: 0.7135, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7266, predictive_accuracy: 0.726, prior_entropy: 3.3219, recall: 0.726, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7282, kappa: 0.6994, kb_relative_information_score: 0.7171, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7302, predictive_accuracy: 0.7295, prior_entropy: 3.3219, recall: 0.7295, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.7753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7274, kappa: 0.6983, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7293, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.6776, kappa: 0.6356, kb_relative_information_score: 0.657, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6957, predictive_accuracy: 0.672, prior_entropy: 3.3219, recall: 0.672, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.8537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7278, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7294, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.6249, kappa: 0.5844, kb_relative_information_score: 0.6089, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6602, predictive_accuracy: 0.626, prior_entropy: 3.3219, recall: 0.626, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7256, kappa: 0.6983, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7342, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7316, kappa: 0.7067, kb_relative_information_score: 0.7239, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7404, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7317, kappa: 0.7033, kb_relative_information_score: 0.7208, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7372, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7278, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7294, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7278, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7296, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7247, kappa: 0.6956, kb_relative_information_score: 0.7135, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7268, predictive_accuracy: 0.726, prior_entropy: 3.3219, recall: 0.726, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7282, kappa: 0.6994, kb_relative_information_score: 0.7171, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7301, predictive_accuracy: 0.7295, prior_entropy: 3.3219, recall: 0.7295, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.7753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7199, kappa: 0.69, kb_relative_information_score: 0.7082, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7217, predictive_accuracy: 0.721, prior_entropy: 3.3219, recall: 0.721, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7239, kappa: 0.6944, kb_relative_information_score: 0.7124, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7257, predictive_accuracy: 0.725, prior_entropy: 3.3219, recall: 0.725, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7253, kappa: 0.6961, kb_relative_information_score: 0.714, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7271, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7278, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7295, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7211, kappa: 0.6928, kb_relative_information_score: 0.7108, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7218, predictive_accuracy: 0.7235, prior_entropy: 3.3219, recall: 0.7235, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7263, kappa: 0.6978, kb_relative_information_score: 0.7156, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7282, predictive_accuracy: 0.728, prior_entropy: 3.3219, recall: 0.728, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7251, kappa: 0.6961, kb_relative_information_score: 0.714, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7269, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7251, kappa: 0.7011, kb_relative_information_score: 0.7187, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.738, predictive_accuracy: 0.731, prior_entropy: 3.3219, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7243, kappa: 0.695, kb_relative_information_score: 0.7129, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7264, predictive_accuracy: 0.7255, prior_entropy: 3.3219, recall: 0.7255, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7277, kappa: 0.705, kb_relative_information_score: 0.7224, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7379, predictive_accuracy: 0.7345, prior_entropy: 3.3219, recall: 0.7345, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.7681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7222, kappa: 0.6928, kb_relative_information_score: 0.7108, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.724, predictive_accuracy: 0.7235, prior_entropy: 3.3219, recall: 0.7235, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7302, kappa: 0.7078, kb_relative_information_score: 0.725, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7409, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7131, kappa: 0.6861, kb_relative_information_score: 0.7046, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7216, predictive_accuracy: 0.7175, prior_entropy: 3.3219, recall: 0.7175, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.7923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.6661, kappa: 0.6317, kb_relative_information_score: 0.6533, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6838, predictive_accuracy: 0.6685, prior_entropy: 3.3219, recall: 0.6685, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7223, kappa: 0.6928, kb_relative_information_score: 0.7108, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7242, predictive_accuracy: 0.7235, prior_entropy: 3.3219, recall: 0.7235, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6958, kappa: 0.6617, kb_relative_information_score: 0.6816, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.701, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7274, kappa: 0.6983, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7294, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7144, kappa: 0.7039, kb_relative_information_score: 0.7213, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7344, predictive_accuracy: 0.7335, prior_entropy: 3.3219, recall: 0.7335, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.7696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7269, kappa: 0.6978, kb_relative_information_score: 0.7156, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7288, predictive_accuracy: 0.728, prior_entropy: 3.3219, recall: 0.728, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7277, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7296, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7319, kappa: 0.7067, kb_relative_information_score: 0.7239, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7382, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7251, kappa: 0.7011, kb_relative_information_score: 0.7187, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7338, predictive_accuracy: 0.731, prior_entropy: 3.3219, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7303, kappa: 0.7022, kb_relative_information_score: 0.7197, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7356, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7268, kappa: 0.6978, kb_relative_information_score: 0.7156, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7286, predictive_accuracy: 0.728, prior_entropy: 3.3219, recall: 0.728, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7259, kappa: 0.6967, kb_relative_information_score: 0.7145, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7278, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7265, kappa: 0.6978, kb_relative_information_score: 0.7156, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.728, predictive_accuracy: 0.728, prior_entropy: 3.3219, recall: 0.728, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7259, kappa: 0.7022, kb_relative_information_score: 0.7197, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.736, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7254, kappa: 0.6961, kb_relative_information_score: 0.714, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7275, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7335, kappa: 0.7078, kb_relative_information_score: 0.725, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7408, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7003, kappa: 0.7039, kb_relative_information_score: 0.7213, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6889, predictive_accuracy: 0.7335, prior_entropy: 3.3219, recall: 0.7335, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.7696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7295, kappa: 0.7039, kb_relative_information_score: 0.7213, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7377, predictive_accuracy: 0.7335, prior_entropy: 3.3219, recall: 0.7335, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.7696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7102, kappa: 0.7078, kb_relative_information_score: 0.725, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7428, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7265, kappa: 0.7022, kb_relative_information_score: 0.7197, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7365, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7293, kappa: 0.7022, kb_relative_information_score: 0.7197, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7365, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7272, kappa: 0.6983, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7291, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7253, kappa: 0.6961, kb_relative_information_score: 0.714, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7269, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.724, kappa: 0.6961, kb_relative_information_score: 0.714, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.725, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7272, kappa: 0.7022, kb_relative_information_score: 0.7197, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7369, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7717,

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