Task
Supervised Classification on newton_hema

Supervised Classification on newton_hema

Task 3649 Supervised Classification newton_hema 856 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7354, kappa: 0.4714, kb_relative_information_score: 57.0417, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7369, predictive_accuracy: 0.7357, prior_entropy: 1, recall: 0.7357, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5629, kappa: 0.1714, kb_relative_information_score: 13.68, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.6084, predictive_accuracy: 0.5857, prior_entropy: 1, recall: 0.5857, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8356, kappa: 0.6714, kb_relative_information_score: 62.838, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.8363, predictive_accuracy: 0.8357, prior_entropy: 1, recall: 0.8357, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7853, kappa: 0.5714, kb_relative_information_score: 80, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7878, predictive_accuracy: 0.7857, prior_entropy: 1, recall: 0.7857, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7846, kappa: 0.5714, kb_relative_information_score: 66.8351, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7917, predictive_accuracy: 0.7857, prior_entropy: 1, recall: 0.7857, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.7991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7993, kappa: 0.6, kb_relative_information_score: 53.052, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.804, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7138, kappa: 0.4286, kb_relative_information_score: 43.6179, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7159, predictive_accuracy: 0.7143, prior_entropy: 1, recall: 0.7143, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7766, kappa: 0.5571, kb_relative_information_score: 54.6313, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7885, predictive_accuracy: 0.7786, prior_entropy: 1, recall: 0.7786, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7853, kappa: 0.5714, kb_relative_information_score: 59.6892, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7878, predictive_accuracy: 0.7857, prior_entropy: 1, recall: 0.7857, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7424, kappa: 0.4857, kb_relative_information_score: 48.681, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7447, predictive_accuracy: 0.7429, prior_entropy: 1, recall: 0.7429, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7911, kappa: 0.5857, kb_relative_information_score: 56.7859, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.8033, predictive_accuracy: 0.7929, prior_entropy: 1, recall: 0.7929, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7857, kappa: 0.5714, kb_relative_information_score: 67.2909, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7859, predictive_accuracy: 0.7857, prior_entropy: 1, recall: 0.7857, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7785, kappa: 0.5571, kb_relative_information_score: 75.6754, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7791, predictive_accuracy: 0.7786, prior_entropy: 1, recall: 0.7786, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.778, kappa: 0.5571, kb_relative_information_score: 64.558, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7814, predictive_accuracy: 0.7786, prior_entropy: 1, recall: 0.7786, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.7846, kappa: 0.5714, kb_relative_information_score: 49.7903, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7917, predictive_accuracy: 0.7857, prior_entropy: 1, recall: 0.7857, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7563, kappa: 0.5143, kb_relative_information_score: 56.5022, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7605, predictive_accuracy: 0.7571, prior_entropy: 1, recall: 0.7571, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7471, kappa: 0.5, kb_relative_information_score: 54.4809, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.762, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7403, kappa: 0.4857, kb_relative_information_score: 48.9909, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.753, predictive_accuracy: 0.7429, prior_entropy: 1, recall: 0.7429, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7926, kappa: 0.5857, kb_relative_information_score: 68.9926, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7944, predictive_accuracy: 0.7929, prior_entropy: 1, recall: 0.7929, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7637, kappa: 0.5286, kb_relative_information_score: 70.6716, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.767, predictive_accuracy: 0.7643, prior_entropy: 1, recall: 0.7643, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.7998, kappa: 0.6, kb_relative_information_score: 73.9468, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7926, kappa: 0.5857, kb_relative_information_score: 54.1105, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7944, predictive_accuracy: 0.7929, prior_entropy: 1, recall: 0.7929, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 72.097, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.8002, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7403, kappa: 0.4857, kb_relative_information_score: 53.1355, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.753, predictive_accuracy: 0.7429, prior_entropy: 1, recall: 0.7429, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7642, kappa: 0.5286, kb_relative_information_score: 66.4669, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7648, predictive_accuracy: 0.7643, prior_entropy: 1, recall: 0.7643, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7403, kappa: 0.4857, kb_relative_information_score: 68, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.753, predictive_accuracy: 0.7429, prior_entropy: 1, recall: 0.7429, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7857, kappa: 0.5714, kb_relative_information_score: 67.9739, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7859, predictive_accuracy: 0.7857, prior_entropy: 1, recall: 0.7857, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7911, kappa: 0.5857, kb_relative_information_score: 56.8519, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.8033, predictive_accuracy: 0.7929, prior_entropy: 1, recall: 0.7929, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.771, kappa: 0.5429, kb_relative_information_score: 63.0929, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7734, predictive_accuracy: 0.7714, prior_entropy: 1, recall: 0.7714, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7911, kappa: 0.5857, kb_relative_information_score: 56.7917, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.8033, predictive_accuracy: 0.7929, prior_entropy: 1, recall: 0.7929, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7703, kappa: 0.5429, kb_relative_information_score: 76, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7771, predictive_accuracy: 0.7714, prior_entropy: 1, recall: 0.7714, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 59.3155, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.8002, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 69.7048, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.8002, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7766, kappa: 0.5571, kb_relative_information_score: 54.6066, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7885, predictive_accuracy: 0.7786, prior_entropy: 1, recall: 0.7786, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7703, kappa: 0.5429, kb_relative_information_score: 76, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7771, predictive_accuracy: 0.7714, prior_entropy: 1, recall: 0.7714, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7857, kappa: 0.5714, kb_relative_information_score: 67.9739, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7859, predictive_accuracy: 0.7857, prior_entropy: 1, recall: 0.7857, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7911, kappa: 0.5857, kb_relative_information_score: 56.7917, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.8033, predictive_accuracy: 0.7929, prior_entropy: 1, recall: 0.7929, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4749, f_measure: 0.4811, kappa: 0.1, kb_relative_information_score: 0.1826, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.6066, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7642, kappa: 0.5286, kb_relative_information_score: 58.9334, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7648, predictive_accuracy: 0.7643, prior_entropy: 1, recall: 0.7643, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7428, kappa: 0.4857, kb_relative_information_score: 68, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7431, predictive_accuracy: 0.7429, prior_entropy: 1, recall: 0.7429, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.5713, kappa: 0.1429, kb_relative_information_score: 20, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.5715, predictive_accuracy: 0.5714, prior_entropy: 1, recall: 0.5714, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6547, root_relative_squared_error: 1.3093, scimark_benchmark: 1631.1992, usercpu_time_millis: 15765.625, usercpu_time_millis_training: 15765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.404, kappa: 0.0571, kb_relative_information_score: 8, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.6741, predictive_accuracy: 0.5286, prior_entropy: 1, recall: 0.5286, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6866, root_relative_squared_error: 1.3732, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.6123, kappa: 0.2286, kb_relative_information_score: 32, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.6167, predictive_accuracy: 0.6143, prior_entropy: 1, recall: 0.6143, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2421, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.404, kappa: 0.0571, kb_relative_information_score: 8, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.6741, predictive_accuracy: 0.5286, prior_entropy: 1, recall: 0.5286, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6866, root_relative_squared_error: 1.3732, scimark_benchmark: 1658.6018, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.785, kappa: 0.5714, kb_relative_information_score: 60.0219, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7895, predictive_accuracy: 0.7857, prior_entropy: 1, recall: 0.7857, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8034, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7855, kappa: 0.5714, kb_relative_information_score: 63.0991, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7867, predictive_accuracy: 0.7857, prior_entropy: 1, recall: 0.7857, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7854, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7703, kappa: 0.5429, kb_relative_information_score: 76, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7771, predictive_accuracy: 0.7714, prior_entropy: 1, recall: 0.7714, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9562, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7703, kappa: 0.5429, kb_relative_information_score: 76, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7771, predictive_accuracy: 0.7714, prior_entropy: 1, recall: 0.7714, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9562, scimark_benchmark: 1252.9247, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.785, kappa: 0.5714, kb_relative_information_score: 64.7539, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7895, predictive_accuracy: 0.7857, prior_entropy: 1, recall: 0.7857, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7792, scimark_benchmark: 1089.8211, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7138, kappa: 0.4286, kb_relative_information_score: 43.6179, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7159, predictive_accuracy: 0.7143, prior_entropy: 1, recall: 0.7143, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9098, scimark_benchmark: 943.9154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.749, kappa: 0.5, kb_relative_information_score: 54.6867, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7542, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8062, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7766, kappa: 0.5571, kb_relative_information_score: 78.0889, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7885, predictive_accuracy: 0.7786, prior_entropy: 1, recall: 0.7786, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7848, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.6924, kappa: 0.4, kb_relative_information_score: 65.6244, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7219, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8762, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7996, kappa: 0.6, kb_relative_information_score: 58.6525, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.8022, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7843, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7643, kappa: 0.5286, kb_relative_information_score: 64.6755, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7643, predictive_accuracy: 0.7643, prior_entropy: 1, recall: 0.7643, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.789, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 72.097, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.8002, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7504, scimark_benchmark: 1873.1108,

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