Task
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 146607 Supervised Classification SpeedDating 22560 runs submitted
1 likes downloaded by 2 people , 3 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

22560 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.8166, kappa: 0.3036, kb_relative_information_score: 775.778, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8103, predictive_accuracy: 0.826, prior_entropy: 0.6457, recall: 0.826, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.8112, kappa: 0.3006, kb_relative_information_score: 617.7233, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8079, predictive_accuracy: 0.8151, prior_entropy: 0.6457, recall: 0.8151, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3962, root_relative_squared_error: 1.0683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.8156, kappa: 0.2978, kb_relative_information_score: 639.229, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.809, predictive_accuracy: 0.8256, prior_entropy: 0.6457, recall: 0.8256, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8182, kappa: 0.3105, kb_relative_information_score: 784.7387, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8121, predictive_accuracy: 0.8272, prior_entropy: 0.6457, recall: 0.8272, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.8119, kappa: 0.285, kb_relative_information_score: 665.3801, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8052, predictive_accuracy: 0.8217, prior_entropy: 0.6457, recall: 0.8217, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.8202, kappa: 0.3183, kb_relative_information_score: 830.8734, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8143, predictive_accuracy: 0.829, prior_entropy: 0.6457, recall: 0.829, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.8012, kappa: 0.2728, kb_relative_information_score: 547.5877, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7999, predictive_accuracy: 0.8026, prior_entropy: 0.6457, recall: 0.8026, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.422, root_relative_squared_error: 1.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.8089, kappa: 0.2871, kb_relative_information_score: 651.0109, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8044, predictive_accuracy: 0.8144, prior_entropy: 0.6457, recall: 0.8144, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3838, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.8075, kappa: 0.2895, kb_relative_information_score: 705.4538, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8047, predictive_accuracy: 0.8106, prior_entropy: 0.6457, recall: 0.8106, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3931, root_relative_squared_error: 1.0599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.8028, kappa: 0.28, kb_relative_information_score: 712.9399, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8019, predictive_accuracy: 0.8037, prior_entropy: 0.6457, recall: 0.8037, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.8209, kappa: 0.3117, kb_relative_information_score: 765.3599, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8142, predictive_accuracy: 0.833, prior_entropy: 0.6457, recall: 0.833, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.8202, kappa: 0.3087, kb_relative_information_score: 684.8876, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8133, predictive_accuracy: 0.8323, prior_entropy: 0.6457, recall: 0.8323, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.359, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.8014, kappa: 0.2796, kb_relative_information_score: 786.3316, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8018, predictive_accuracy: 0.801, prior_entropy: 0.6457, recall: 0.801, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4293, root_relative_squared_error: 1.1574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.8089, kappa: 0.2928, kb_relative_information_score: 667.9251, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8057, predictive_accuracy: 0.8125, prior_entropy: 0.6457, recall: 0.8125, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3991, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.8099, kappa: 0.2977, kb_relative_information_score: 807.0039, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.807, predictive_accuracy: 0.8132, prior_entropy: 0.6457, recall: 0.8132, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.1369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.8088, kappa: 0.2867, kb_relative_information_score: 682.2355, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8043, predictive_accuracy: 0.8142, prior_entropy: 0.6457, recall: 0.8142, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3829, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.8122, kappa: 0.2995, kb_relative_information_score: 687.5613, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8078, predictive_accuracy: 0.8175, prior_entropy: 0.6457, recall: 0.8175, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3737, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.8076, kappa: 0.2743, kb_relative_information_score: 589.3095, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8015, predictive_accuracy: 0.8156, prior_entropy: 0.6457, recall: 0.8156, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3835, root_relative_squared_error: 1.0338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.8141, kappa: 0.299, kb_relative_information_score: 590.1818, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8084, predictive_accuracy: 0.8219, prior_entropy: 0.6457, recall: 0.8219, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.8139, kappa: 0.2974, kb_relative_information_score: 670.244, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.808, predictive_accuracy: 0.8218, prior_entropy: 0.6457, recall: 0.8218, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.816, kappa: 0.3063, kb_relative_information_score: 777.8238, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8104, predictive_accuracy: 0.8237, prior_entropy: 0.6457, recall: 0.8237, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.8166, kappa: 0.3175, kb_relative_information_score: 780.4994, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8127, predictive_accuracy: 0.8213, prior_entropy: 0.6457, recall: 0.8213, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.8102, kappa: 0.2976, kb_relative_information_score: 683.0636, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.807, predictive_accuracy: 0.8138, prior_entropy: 0.6457, recall: 0.8138, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3886, root_relative_squared_error: 1.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.8148, kappa: 0.2918, kb_relative_information_score: 670.2323, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8078, predictive_accuracy: 0.826, prior_entropy: 0.6457, recall: 0.826, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.8108, kappa: 0.2874, kb_relative_information_score: 687.3692, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8051, predictive_accuracy: 0.8185, prior_entropy: 0.6457, recall: 0.8185, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.8076, kappa: 0.2912, kb_relative_information_score: 828.9253, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8051, predictive_accuracy: 0.8103, prior_entropy: 0.6457, recall: 0.8103, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4, root_relative_squared_error: 1.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.8142, kappa: 0.2988, kb_relative_information_score: 750.0977, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8084, predictive_accuracy: 0.822, prior_entropy: 0.6457, recall: 0.822, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.8203, kappa: 0.3127, kb_relative_information_score: 630.1816, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8137, predictive_accuracy: 0.8312, prior_entropy: 0.6457, recall: 0.8312, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.8212, kappa: 0.3128, kb_relative_information_score: 803.8916, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8144, predictive_accuracy: 0.8331, prior_entropy: 0.6457, recall: 0.8331, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.8082, kappa: 0.2963, kb_relative_information_score: 760.8263, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8064, predictive_accuracy: 0.81, prior_entropy: 0.6457, recall: 0.81, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4125, root_relative_squared_error: 1.1121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.8171, kappa: 0.3077, kb_relative_information_score: 726.8672, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8111, predictive_accuracy: 0.8256, prior_entropy: 0.6457, recall: 0.8256, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.8112, kappa: 0.2998, kb_relative_information_score: 594.0976, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8077, predictive_accuracy: 0.8153, prior_entropy: 0.6457, recall: 0.8153, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.0709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.8193, kappa: 0.3156, kb_relative_information_score: 815.5251, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8134, predictive_accuracy: 0.8279, prior_entropy: 0.6457, recall: 0.8279, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.7985, kappa: 0.2697, kb_relative_information_score: 851.463, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.799, predictive_accuracy: 0.7979, prior_entropy: 0.6457, recall: 0.7979, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.8219, kappa: 0.3146, kb_relative_information_score: 733.8473, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8152, predictive_accuracy: 0.8343, prior_entropy: 0.6457, recall: 0.8343, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.354, root_relative_squared_error: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.8169, kappa: 0.3037, kb_relative_information_score: 679.5117, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8105, predictive_accuracy: 0.8265, prior_entropy: 0.6457, recall: 0.8265, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.8133, kappa: 0.3079, kb_relative_information_score: 736.6556, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8099, predictive_accuracy: 0.8173, prior_entropy: 0.6457, recall: 0.8173, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.0714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.8083, kappa: 0.2799, kb_relative_information_score: 659.1315, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8028, predictive_accuracy: 0.8152, prior_entropy: 0.6457, recall: 0.8152, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3907, root_relative_squared_error: 1.0534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.8242, kappa: 0.3222, kb_relative_information_score: 792.3833, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8177, predictive_accuracy: 0.8367, prior_entropy: 0.6457, recall: 0.8367, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.8165, kappa: 0.302, kb_relative_information_score: 689.0234, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.81, predictive_accuracy: 0.8261, prior_entropy: 0.6457, recall: 0.8261, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8112, kappa: 0.2886, kb_relative_information_score: 617.5195, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8054, predictive_accuracy: 0.8188, prior_entropy: 0.6457, recall: 0.8188, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.8061, kappa: 0.2779, kb_relative_information_score: 632.321, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8018, predictive_accuracy: 0.8113, prior_entropy: 0.6457, recall: 0.8113, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.408, root_relative_squared_error: 1.1001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.8015, kappa: 0.2758, kb_relative_information_score: 949.1654, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8007, predictive_accuracy: 0.8023, prior_entropy: 0.6457, recall: 0.8023, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8171, kappa: 0.305, kb_relative_information_score: 669.2914, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8107, predictive_accuracy: 0.8265, prior_entropy: 0.6457, recall: 0.8265, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.8259, kappa: 0.3316, kb_relative_information_score: 768.1628, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8197, predictive_accuracy: 0.8373, prior_entropy: 0.6457, recall: 0.8373, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.8183, kappa: 0.3172, kb_relative_information_score: 698.9323, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8132, predictive_accuracy: 0.825, prior_entropy: 0.6457, recall: 0.825, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3759, root_relative_squared_error: 1.0134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.8202, kappa: 0.3075, kb_relative_information_score: 768.3464, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8133, predictive_accuracy: 0.8328, prior_entropy: 0.6457, recall: 0.8328, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.8154, kappa: 0.3106, kb_relative_information_score: 739.4585, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.811, predictive_accuracy: 0.8208, prior_entropy: 0.6457, recall: 0.8208, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.0267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8016, kappa: 0.2699, kb_relative_information_score: 576.2396, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7992, predictive_accuracy: 0.8042, prior_entropy: 0.6457, recall: 0.8042, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.0922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.8158, kappa: 0.3103, kb_relative_information_score: 680.7448, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.811, predictive_accuracy: 0.8219, prior_entropy: 0.6457, recall: 0.8219, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3774, root_relative_squared_error: 1.0174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.8241, kappa: 0.3263, kb_relative_information_score: 832.685, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8178, predictive_accuracy: 0.8352, prior_entropy: 0.6457, recall: 0.8352, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.8083, kappa: 0.2898, kb_relative_information_score: 670.8781, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8049, predictive_accuracy: 0.8122, prior_entropy: 0.6457, recall: 0.8122, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3829, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.8084, kappa: 0.2957, kb_relative_information_score: 719.851, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8063, predictive_accuracy: 0.8107, prior_entropy: 0.6457, recall: 0.8107, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4119, root_relative_squared_error: 1.1104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.8155, kappa: 0.3081, kb_relative_information_score: 655.6236, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8105, predictive_accuracy: 0.8219, prior_entropy: 0.6457, recall: 0.8219, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3754, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.8198, kappa: 0.3177, kb_relative_information_score: 807.5012, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.814, predictive_accuracy: 0.8282, prior_entropy: 0.6457, recall: 0.8282, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.8185, kappa: 0.3127, kb_relative_information_score: 742.9986, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8125, predictive_accuracy: 0.8269, prior_entropy: 0.6457, recall: 0.8269, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.8243, kappa: 0.3291, kb_relative_information_score: 839.445, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8181, predictive_accuracy: 0.8344, prior_entropy: 0.6457, recall: 0.8344, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.816, kappa: 0.3164, kb_relative_information_score: 728.9449, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8123, predictive_accuracy: 0.8204, prior_entropy: 0.6457, recall: 0.8204, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3761, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.8149, kappa: 0.3014, kb_relative_information_score: 566.4746, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8091, predictive_accuracy: 0.8229, prior_entropy: 0.6457, recall: 0.8229, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3713, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.8128, kappa: 0.3028, kb_relative_information_score: 627.4105, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8087, predictive_accuracy: 0.8179, prior_entropy: 0.6457, recall: 0.8179, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3838, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.8158, kappa: 0.298, kb_relative_information_score: 583.8827, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8091, predictive_accuracy: 0.8261, prior_entropy: 0.6457, recall: 0.8261, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.8112, kappa: 0.3006, kb_relative_information_score: 758.0974, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8079, predictive_accuracy: 0.8151, prior_entropy: 0.6457, recall: 0.8151, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.8029, kappa: 0.2775, kb_relative_information_score: 759.8161, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8012, predictive_accuracy: 0.8046, prior_entropy: 0.6457, recall: 0.8046, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.8017, kappa: 0.2648, kb_relative_information_score: 587.6981, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.798, predictive_accuracy: 0.8059, prior_entropy: 0.6457, recall: 0.8059, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4115, root_relative_squared_error: 1.1093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.8087, kappa: 0.2999, kb_relative_information_score: 915.9076, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8074, predictive_accuracy: 0.8101, prior_entropy: 0.6457, recall: 0.8101, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.1333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.814, kappa: 0.2931, kb_relative_information_score: 648.7642, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8074, predictive_accuracy: 0.8236, prior_entropy: 0.6457, recall: 0.8236, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.8261, kappa: 0.3321, kb_relative_information_score: 772.8988, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8199, predictive_accuracy: 0.8376, prior_entropy: 0.6457, recall: 0.8376, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.8057, kappa: 0.2871, kb_relative_information_score: 786.5761, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8039, predictive_accuracy: 0.8076, prior_entropy: 0.6457, recall: 0.8076, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4162, root_relative_squared_error: 1.1222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.8166, kappa: 0.3111, kb_relative_information_score: 650.7088, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8115, predictive_accuracy: 0.8233, prior_entropy: 0.6457, recall: 0.8233, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3732, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.8173, kappa: 0.3053, kb_relative_information_score: 671.656, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8109, predictive_accuracy: 0.8268, prior_entropy: 0.6457, recall: 0.8268, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.8015, kappa: 0.2745, kb_relative_information_score: 832.5018, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8004, predictive_accuracy: 0.8026, prior_entropy: 0.6457, recall: 0.8026, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.8204, kappa: 0.3161, kb_relative_information_score: 772.0115, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8141, predictive_accuracy: 0.8302, prior_entropy: 0.6457, recall: 0.8302, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.8107, kappa: 0.285, kb_relative_information_score: 576.3775, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8046, predictive_accuracy: 0.819, prior_entropy: 0.6457, recall: 0.819, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3795, root_relative_squared_error: 1.0232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.8072, kappa: 0.2934, kb_relative_information_score: 918.5995, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8056, predictive_accuracy: 0.8089, prior_entropy: 0.6457, recall: 0.8089, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4202, root_relative_squared_error: 1.1329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.8177, kappa: 0.3027, kb_relative_information_score: 674.4278, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8109, predictive_accuracy: 0.8287, prior_entropy: 0.6457, recall: 0.8287, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.8098, kappa: 0.298, kb_relative_information_score: 722.0094, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.807, predictive_accuracy: 0.813, prior_entropy: 0.6457, recall: 0.813, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3959, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.809, kappa: 0.2795, kb_relative_information_score: 595.1104, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.803, predictive_accuracy: 0.817, prior_entropy: 0.6457, recall: 0.817, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.813, kappa: 0.3027, kb_relative_information_score: 616.0566, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8087, predictive_accuracy: 0.8182, prior_entropy: 0.6457, recall: 0.8182, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3769, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.824, kappa: 0.3248, kb_relative_information_score: 770.8176, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8176, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.8168, kappa: 0.3132, kb_relative_information_score: 694.2376, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8119, predictive_accuracy: 0.8231, prior_entropy: 0.6457, recall: 0.8231, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3761, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8141, kappa: 0.2931, kb_relative_information_score: 647.8189, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8075, predictive_accuracy: 0.8238, prior_entropy: 0.6457, recall: 0.8238, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.8171, kappa: 0.3216, kb_relative_information_score: 741.9227, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8137, predictive_accuracy: 0.8211, prior_entropy: 0.6457, recall: 0.8211, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.381, root_relative_squared_error: 1.0272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.8077, kappa: 0.2834, kb_relative_information_score: 594.5464, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8033, predictive_accuracy: 0.813, prior_entropy: 0.6457, recall: 0.813, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3941, root_relative_squared_error: 1.0625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.8217, kappa: 0.3196, kb_relative_information_score: 664.186, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8154, predictive_accuracy: 0.8319, prior_entropy: 0.6457, recall: 0.8319, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.8085, kappa: 0.2813, kb_relative_information_score: 636.3433, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8031, predictive_accuracy: 0.8152, prior_entropy: 0.6457, recall: 0.8152, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3929, root_relative_squared_error: 1.0593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.8168, kappa: 0.3001, kb_relative_information_score: 666.6221, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.81, predictive_accuracy: 0.8275, prior_entropy: 0.6457, recall: 0.8275, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.8142, kappa: 0.2996, kb_relative_information_score: 787.2323, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8085, predictive_accuracy: 0.8218, prior_entropy: 0.6457, recall: 0.8218, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.8109, kappa: 0.3003, kb_relative_information_score: 735.3068, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8077, predictive_accuracy: 0.8145, prior_entropy: 0.6457, recall: 0.8145, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3879, root_relative_squared_error: 1.0457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.8048, kappa: 0.2833, kb_relative_information_score: 643.8831, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8029, predictive_accuracy: 0.8068, prior_entropy: 0.6457, recall: 0.8068, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.0964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.8117, kappa: 0.29, kb_relative_information_score: 660.2819, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8059, predictive_accuracy: 0.8195, prior_entropy: 0.6457, recall: 0.8195, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.807, kappa: 0.2813, kb_relative_information_score: 727.9349, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8027, predictive_accuracy: 0.8121, prior_entropy: 0.6457, recall: 0.8121, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4076, root_relative_squared_error: 1.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.8036, kappa: 0.2718, kb_relative_information_score: 720.5763, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7999, predictive_accuracy: 0.8077, prior_entropy: 0.6457, recall: 0.8077, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.1168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.8084, kappa: 0.2925, kb_relative_information_score: 813.076, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8055, predictive_accuracy: 0.8116, prior_entropy: 0.6457, recall: 0.8116, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4008, root_relative_squared_error: 1.0805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.8058, kappa: 0.2946, kb_relative_information_score: 942.3016, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8059, predictive_accuracy: 0.8057, prior_entropy: 0.6457, recall: 0.8057, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.8223, kappa: 0.32, kb_relative_information_score: 766.8551, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8159, predictive_accuracy: 0.8331, prior_entropy: 0.6457, recall: 0.8331, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.353, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.8055, kappa: 0.2868, kb_relative_information_score: 553.6513, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8038, predictive_accuracy: 0.8072, prior_entropy: 0.6457, recall: 0.8072, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3997, root_relative_squared_error: 1.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.8203, kappa: 0.3149, kb_relative_information_score: 849.8217, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8139, predictive_accuracy: 0.8304, prior_entropy: 0.6457, recall: 0.8304, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.811, kappa: 0.2979, kb_relative_information_score: 724.44, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8072, predictive_accuracy: 0.8155, prior_entropy: 0.6457, recall: 0.8155, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3889, root_relative_squared_error: 1.0485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.8113, kappa: 0.2819, kb_relative_information_score: 681.4996, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8044, predictive_accuracy: 0.8213, prior_entropy: 0.6457, recall: 0.8213, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.8212, kappa: 0.3113, kb_relative_information_score: 729.5563, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8144, predictive_accuracy: 0.8339, prior_entropy: 0.6457, recall: 0.8339, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.355, root_relative_squared_error: 0.9569,

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