Task
Supervised Classification on SPECT

Supervised Classification on SPECT

Task 3495 Supervised Classification SPECT 546 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.8273, kappa: 0.444, kb_relative_information_score: 54.9761, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8255, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.8066, kappa: 0.461, kb_relative_information_score: 52.4035, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8333, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7028, kb_relative_information_score: 9.7495, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.8148, kappa: 0.4103, kb_relative_information_score: 55.9625, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8108, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.735, kappa: 0.1044, kb_relative_information_score: 1.9843, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7546, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.8035, kappa: 0.435, kb_relative_information_score: 46.9905, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8196, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.8221, kappa: 0.4508, kb_relative_information_score: 76.4721, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8205, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.8056, kappa: 0.3957, kb_relative_information_score: 57.0924, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8028, predictive_accuracy: 0.809, prior_entropy: 0.738, recall: 0.809, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.8089, kappa: 0.4277, kb_relative_information_score: 39.6423, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8134, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8264, kappa: 0.5085, kb_relative_information_score: 63.197, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8469, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.375, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.8127, kappa: 0.4275, kb_relative_information_score: 32.1684, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8127, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.7028, kb_relative_information_score: -3.2699, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.8127, kappa: 0.4275, kb_relative_information_score: 30.7419, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8127, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.8942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.8089, kappa: 0.4277, kb_relative_information_score: 81.725, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8134, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.8258, kappa: 0.4438, kb_relative_information_score: 54.5763, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8228, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.8808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7028, kb_relative_information_score: 23.4735, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.7028, kb_relative_information_score: -1.2869, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8284, kappa: 0.4668, kb_relative_information_score: 51.1647, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8261, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.7028, kb_relative_information_score: -1.904, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8329, kappa: 0.4823, kb_relative_information_score: 36.8196, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.831, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.357, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 44.8944, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.8127, kappa: 0.4275, kb_relative_information_score: 64.99, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8127, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 113.9323, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7996, kappa: 0.4414, kb_relative_information_score: 42.7502, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8265, predictive_accuracy: 0.7865, prior_entropy: 0.738, recall: 0.7865, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 53.6364, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 44.8944, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.8469, kappa: 0.5227, kb_relative_information_score: 124.5051, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8448, predictive_accuracy: 0.8502, prior_entropy: 0.738, recall: 0.8502, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.8047, kappa: 0.4666, kb_relative_information_score: 41.2479, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8391, predictive_accuracy: 0.7903, prior_entropy: 0.738, recall: 0.7903, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 44.8944, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8238, kappa: 0.4266, kb_relative_information_score: 56.7952, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8243, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.8486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.8117, kappa: 0.4112, kb_relative_information_score: 47.1138, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8084, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7606, kappa: 0.3117, kb_relative_information_score: 34.6611, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.778, predictive_accuracy: 0.7491, prior_entropy: 0.738, recall: 0.7491, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4493, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 1697.6783, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.7181, kappa: 0.0487, kb_relative_information_score: 75.1654, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7719, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.112, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 1393.2077, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.7181, kappa: 0.0487, kb_relative_information_score: 75.1654, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7719, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.112, scimark_benchmark: 1674.3302, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.7768, kappa: 0.368, kb_relative_information_score: 40.6952, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7989, predictive_accuracy: 0.764, prior_entropy: 0.738, recall: 0.764, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9925, scimark_benchmark: 1918.4916, usercpu_time_millis: 1187.5, usercpu_time_millis_training: 1187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7973, kappa: 0.3908, kb_relative_information_score: 69.349, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8011, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4382, root_relative_squared_error: 1.0836, scimark_benchmark: 1918.4916, usercpu_time_millis: 1359.375, usercpu_time_millis_training: 1359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 1854.0453, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 1742.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.8234, kappa: 0.4582, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8228, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374, scimark_benchmark: 1377.4309, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.8127, kappa: 0.4275, kb_relative_information_score: 79.5474, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8127, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0061, scimark_benchmark: 1416.417, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 44.8944, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.0446, scimark_benchmark: 1259.8988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.8257, kappa: 0.4515, kb_relative_information_score: 106.8838, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8224, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0151, scimark_benchmark: 1196.3234, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.8022, kappa: 0.3972, kb_relative_information_score: 78.6897, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8028, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4455, root_relative_squared_error: 1.1016, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7861, kappa: 0.3873, kb_relative_information_score: 40.7992, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.804, predictive_accuracy: 0.7753, prior_entropy: 0.738, recall: 0.7753, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.985, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 57.9596, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9061, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7807, kappa: 0.3481, kb_relative_information_score: 45.4444, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7876, predictive_accuracy: 0.7753, prior_entropy: 0.738, recall: 0.7753, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9944, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.832, kappa: 0.4683, kb_relative_information_score: 61.6601, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.829, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.6948, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8628, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 66.3384, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8964, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7969, kappa: 0.3362, kb_relative_information_score: 37.3068, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7947, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.9267, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.8227, kappa: 0.4354, kb_relative_information_score: 49.9927, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8192, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9049, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.735, kappa: 0.1044, kb_relative_information_score: 1.9843, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7546, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.003, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8086, kappa: 0.4034, kb_relative_information_score: 56.4452, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8055, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.9301, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 44.8944, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.0446, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.8297, kappa: 0.4742, kb_relative_information_score: 106.8838, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8282, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0151, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.8022, kappa: 0.3972, kb_relative_information_score: 78.6897, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8028, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4455, root_relative_squared_error: 1.1016, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7861, kappa: 0.3873, kb_relative_information_score: 40.2813, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.804, predictive_accuracy: 0.7753, prior_entropy: 0.738, recall: 0.7753, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.9853, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 57.9596, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9061, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7807, kappa: 0.3481, kb_relative_information_score: 45.4444, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7876, predictive_accuracy: 0.7753, prior_entropy: 0.738, recall: 0.7753, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9944, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.832, kappa: 0.4683, kb_relative_information_score: 61.6601, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.829, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.6948, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8628, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 65.8147, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.8985, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7969, kappa: 0.3362, kb_relative_information_score: 37.3068, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7947, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.9267, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 56.8879, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.8933, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.735, kappa: 0.1044, kb_relative_information_score: 1.9843, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7546, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.003, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8086, kappa: 0.4034, kb_relative_information_score: 56.4452, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8055, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.9301, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.832, kappa: 0.4683, kb_relative_information_score: 61.6601, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.829, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.6948, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8628, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.787, kappa: 0.3946, kb_relative_information_score: 40.8953, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8074, predictive_accuracy: 0.7753, prior_entropy: 0.738, recall: 0.7753, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9776, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.8337, kappa: 0.4691, kb_relative_information_score: 61.4596, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8313, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.8526, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.8561, kappa: 0.5381, kb_relative_information_score: 86.5587, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8566, predictive_accuracy: 0.8652, prior_entropy: 0.738, recall: 0.8652, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8431, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7926, kappa: 0.4218, kb_relative_information_score: 46.0349, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8197, predictive_accuracy: 0.779, prior_entropy: 0.738, recall: 0.779, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.9288, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.8274, kappa: 0.452, kb_relative_information_score: 70.0103, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8241, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8502, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.8303, kappa: 0.4675, kb_relative_information_score: 110.408, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8273, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0038, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.8226, kappa: 0.4433, kb_relative_information_score: 103.3595, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8193, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0263, scimark_benchmark: 1234.7955, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.8148, kappa: 0.4103, kb_relative_information_score: 55.9625, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8108, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9202, scimark_benchmark: 792.8744, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.8218, kappa: 0.4894, kb_relative_information_score: 29.5672, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8386, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.8942, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.8253, kappa: 0.4588, kb_relative_information_score: 47.757, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8233, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.356, root_relative_squared_error: 0.8803, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7882, kappa: 0.3864, kb_relative_information_score: 29.9067, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8024, predictive_accuracy: 0.779, prior_entropy: 0.738, recall: 0.779, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.9348, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8168, kappa: 0.4874, kb_relative_information_score: 24.6549, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8418, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.901, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 27.8369, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9024, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8192, kappa: 0.4703, kb_relative_information_score: 36.307, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8293, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.8896, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8369, kappa: 0.4778, kb_relative_information_score: 52.2429, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8351, predictive_accuracy: 0.8464, prior_entropy: 0.738, recall: 0.8464, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.8702, scimark_benchmark: 1779.392, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.832, kappa: 0.4683, kb_relative_information_score: 113.9323, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.829, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.838, kappa: 0.4918, kb_relative_information_score: 117.4566, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8353, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.9807, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.8022, kappa: 0.3972, kb_relative_information_score: 78.6897, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8028, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4455, root_relative_squared_error: 1.1016, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.8164, kappa: 0.4188, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8125, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.8274, kappa: 0.452, kb_relative_information_score: 58.2441, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8241, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.893, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7969, kappa: 0.3362, kb_relative_information_score: 38.719, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7947, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9249, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.8004, kappa: 0.4281, kb_relative_information_score: 42.2517, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8178, predictive_accuracy: 0.7903, prior_entropy: 0.738, recall: 0.7903, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.395, root_relative_squared_error: 0.9767, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.735, kappa: 0.1044, kb_relative_information_score: 1.9843, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7546, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.003, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.8399, kappa: 0.493, kb_relative_information_score: 74.8879, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8372, predictive_accuracy: 0.8464, prior_entropy: 0.738, recall: 0.8464, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.8694, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.8274, kappa: 0.452, kb_relative_information_score: 60.7645, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8241, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.8831, scimark_benchmark: 1850.8887, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 53.6364, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9013, scimark_benchmark: 1850.8887, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7947, kappa: 0.3745, kb_relative_information_score: 44.1545, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7954, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.9809, scimark_benchmark: 1851.1033,

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