Task
Supervised Classification on visualizing_livestock

Supervised Classification on visualizing_livestock

Task 3577 Supervised Classification visualizing_livestock 723 runs submitted
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  • study_1 study_107 study_123 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, build_cpu_time: 0.0016, build_memory: 1409589208, f_measure: 0.3384, kappa: 0.2115, kb_relative_information_score: 14.7695, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3184, predictive_accuracy: 0.3692, prior_entropy: 2.3219, recall: 0.3692, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0723, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, build_cpu_time: 0.0341, build_memory: 593629528, kappa: -0.25, kb_relative_information_score: -17.4573, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.32, number_of_instances: 130, prior_entropy: 2.3219, relative_absolute_error: 1.2413, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.3527, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, build_cpu_time: 0.0317, build_memory: 443374783.2, kappa: -0.25, kb_relative_information_score: -17.4573, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.32, number_of_instances: 130, prior_entropy: 2.3219, relative_absolute_error: 1.2413, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.3527, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.0032, build_memory: 2458083928, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.0021, build_memory: 439017879.2, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.0014, build_memory: 975074017.6, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.001, build_memory: 1983717512, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, build_cpu_time: 0.0009, build_memory: 281139960, f_measure: 0.3384, kappa: 0.2115, kb_relative_information_score: 14.7695, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3184, predictive_accuracy: 0.3692, prior_entropy: 2.3219, recall: 0.3692, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0723, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.0007, build_memory: 641766656, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, build_cpu_time: 0.0019, build_memory: 92241507.2, f_measure: 0.3384, kappa: 0.2115, kb_relative_information_score: 14.7695, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3184, predictive_accuracy: 0.3692, prior_entropy: 2.3219, recall: 0.3692, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0723, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, build_cpu_time: 0.0019, build_memory: 627840903.2, f_measure: 0.3384, kappa: 0.2115, kb_relative_information_score: 14.7695, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3184, predictive_accuracy: 0.3692, prior_entropy: 2.3219, recall: 0.3692, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0723, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, build_cpu_time: 0.0032, build_memory: 504536204.8, f_measure: 0.3384, kappa: 0.2115, kb_relative_information_score: 14.7695, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3184, predictive_accuracy: 0.3692, prior_entropy: 2.3219, recall: 0.3692, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0723, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.3428, kappa: 0.3077, kb_relative_information_score: 33.7319, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2792, predictive_accuracy: 0.4462, prior_entropy: 2.3219, recall: 0.4462, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.368, root_relative_squared_error: 0.92, scimark_benchmark: 945.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2995, f_measure: 0.0371, kappa: -0.2115, kb_relative_information_score: -2.8162, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.0558, predictive_accuracy: 0.0308, prior_entropy: 2.3219, recall: 0.0308, relative_absolute_error: 1.06, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.0897, scimark_benchmark: 943.2817, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.3642, kappa: 0.2788, kb_relative_information_score: 34.0525, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3484, predictive_accuracy: 0.4231, prior_entropy: 2.3219, recall: 0.4231, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9058, scimark_benchmark: 904.3001, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.2777, kappa: 0.0962, kb_relative_information_score: 19.3245, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2841, predictive_accuracy: 0.2769, prior_entropy: 2.3219, recall: 0.2769, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.0833, scimark_benchmark: 911.3823, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.3428, kappa: 0.3077, kb_relative_information_score: 33.7319, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2792, predictive_accuracy: 0.4462, prior_entropy: 2.3219, recall: 0.4462, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.368, root_relative_squared_error: 0.92, scimark_benchmark: 942.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.3981, kappa: 0.3173, kb_relative_information_score: 37.0072, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3903, predictive_accuracy: 0.4538, prior_entropy: 2.3219, recall: 0.4538, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9055, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4423, f_measure: 0.1128, kappa: -0.0577, kb_relative_information_score: 0.375, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.0923, predictive_accuracy: 0.1538, prior_entropy: 2.3219, recall: 0.1538, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4012, f_measure: 0.1603, kappa: -0.0673, kb_relative_information_score: -2.4039, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.191, predictive_accuracy: 0.1462, prior_entropy: 2.3219, recall: 0.1462, relative_absolute_error: 1.135, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5878, root_relative_squared_error: 1.4694, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.4012, kappa: 0.25, kb_relative_information_score: 15.978, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.4072, predictive_accuracy: 0.4, prior_entropy: 2.3219, recall: 0.4, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9862, scimark_benchmark: 933.8635, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.4037, kappa: 0.3077, kb_relative_information_score: 28.2303, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.4176, predictive_accuracy: 0.4462, prior_entropy: 2.3219, recall: 0.4462, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9222, scimark_benchmark: 901.0726,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3723, build_cpu_time: 0.0187, build_memory: 134993680.8, f_measure: 0.1651, kappa: -0.0192, kb_relative_information_score: 6.2818, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.1548, predictive_accuracy: 0.1846, prior_entropy: 2.3219, recall: 0.1846, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.418, root_relative_squared_error: 1.045, scimark_benchmark: 938.122,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4423, build_cpu_time: 0.0037, build_memory: 218137984, f_measure: 0.1128, kappa: -0.0577, kb_relative_information_score: 0.3907, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.0923, predictive_accuracy: 0.1538, prior_entropy: 2.3219, recall: 0.1538, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.001, scimark_benchmark: 918.9027,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1197, build_cpu_time: 0.7534, build_memory: 1092098048, f_measure: 0.0471, kappa: -0.2115, kb_relative_information_score: -6.116, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.1, predictive_accuracy: 0.0308, prior_entropy: 2.3219, recall: 0.0308, relative_absolute_error: 1.0973, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.444, root_relative_squared_error: 1.1101, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2814, f_measure: 0.078, kappa: -0.0962, kb_relative_information_score: 1.5981, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.0571, predictive_accuracy: 0.1231, prior_entropy: 2.3219, recall: 0.1231, relative_absolute_error: 1.0713, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.1731, scimark_benchmark: 868.2731, usercpu_time_millis: 1180, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.2618, kappa: 0.2019, kb_relative_information_score: 25.4754, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2091, predictive_accuracy: 0.3615, prior_entropy: 2.3219, recall: 0.3615, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9575, scimark_benchmark: 894.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.3272, kappa: 0.1731, kb_relative_information_score: 29.6141, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3238, predictive_accuracy: 0.3385, prior_entropy: 2.3219, recall: 0.3385, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4694, root_relative_squared_error: 1.1736, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.303, kappa: 0.1442, kb_relative_information_score: 30.1553, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2968, predictive_accuracy: 0.3154, prior_entropy: 2.3219, recall: 0.3154, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4866, root_relative_squared_error: 1.2164, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.3356, kappa: 0.1827, kb_relative_information_score: 29.2879, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3306, predictive_accuracy: 0.3462, prior_entropy: 2.3219, recall: 0.3462, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4443, root_relative_squared_error: 1.1107, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.2618, kappa: 0.2019, kb_relative_information_score: 25.4754, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2091, predictive_accuracy: 0.3615, prior_entropy: 2.3219, recall: 0.3615, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9575, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.2618, kappa: 0.2019, kb_relative_information_score: 25.4754, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2091, predictive_accuracy: 0.3615, prior_entropy: 2.3219, recall: 0.3615, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9575, scimark_benchmark: 922.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.2618, kappa: 0.2019, kb_relative_information_score: 25.4754, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2091, predictive_accuracy: 0.3615, prior_entropy: 2.3219, recall: 0.3615, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9575, scimark_benchmark: 936.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.2618, kappa: 0.2019, kb_relative_information_score: 25.4754, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2091, predictive_accuracy: 0.3615, prior_entropy: 2.3219, recall: 0.3615, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9575, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.3478, kappa: 0.1923, kb_relative_information_score: 28.8636, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3492, predictive_accuracy: 0.3538, prior_entropy: 2.3219, recall: 0.3538, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4088, root_relative_squared_error: 1.0219, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.3161, kappa: 0.1538, kb_relative_information_score: 28.4978, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3126, predictive_accuracy: 0.3231, prior_entropy: 2.3219, recall: 0.3231, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.067, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4423, f_measure: 0.1128, kappa: -0.0577, kb_relative_information_score: 0.375, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.0923, predictive_accuracy: 0.1538, prior_entropy: 2.3219, recall: 0.1538, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.001, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, build_cpu_time: 0.0017, build_memory: 1554126066.4, f_measure: 0.4053, kappa: 0.2885, kb_relative_information_score: 46.035, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3928, predictive_accuracy: 0.4308, prior_entropy: 2.3219, recall: 0.4308, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4, root_relative_squared_error: 1.0001, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0345, build_cpu_time: 0.2693, build_memory: 1910692690.4, kappa: -0.25, kb_relative_information_score: -16.3222, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.32, number_of_instances: 130, prior_entropy: 2.3219, relative_absolute_error: 1.2241, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.2885, scimark_benchmark: 947.2295,

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