OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 26772 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8366, kappa: 0.8194, kb_relative_information_score: 0.7565, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.18, weighted_recall: 0.8375, number_of_instances: 2000, precision: 0.8368, predictive_accuracy: 0.8375, prior_entropy: 3.3219, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.164, root_relative_squared_error: 0.5467, unweighted_recall: 0.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.7905, kappa: 0.7683, kb_relative_information_score: 0.7415, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, weighted_recall: 0.7915, number_of_instances: 2000, precision: 0.792, predictive_accuracy: 0.7915, prior_entropy: 3.3219, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5744, unweighted_recall: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8305, kappa: 0.8122, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.18, weighted_recall: 0.831, number_of_instances: 2000, precision: 0.8308, predictive_accuracy: 0.831, prior_entropy: 3.3219, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.5491, unweighted_recall: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8414, kappa: 0.8244, kb_relative_information_score: 0.7892, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, weighted_recall: 0.842, number_of_instances: 2000, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 3.3219, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5202, unweighted_recall: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8326, kappa: 0.8144, kb_relative_information_score: 0.8031, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.18, weighted_recall: 0.833, number_of_instances: 2000, precision: 0.8329, predictive_accuracy: 0.833, prior_entropy: 3.3219, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, unweighted_recall: 0.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8305, kappa: 0.8122, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.18, weighted_recall: 0.831, number_of_instances: 2000, precision: 0.8308, predictive_accuracy: 0.831, prior_entropy: 3.3219, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.5491, unweighted_recall: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.83, kappa: 0.8117, kb_relative_information_score: 0.7929, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, weighted_recall: 0.8305, number_of_instances: 2000, precision: 0.8304, predictive_accuracy: 0.8305, prior_entropy: 3.3219, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.5247, unweighted_recall: 0.8305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8352, kappa: 0.8172, kb_relative_information_score: 0.7952, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, weighted_recall: 0.8355, number_of_instances: 2000, precision: 0.8356, predictive_accuracy: 0.8355, prior_entropy: 3.3219, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.5178, unweighted_recall: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8382, kappa: 0.8217, kb_relative_information_score: 0.7695, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, weighted_recall: 0.8395, number_of_instances: 2000, precision: 0.8381, predictive_accuracy: 0.8395, prior_entropy: 3.3219, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5335, unweighted_recall: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8447, kappa: 0.8278, kb_relative_information_score: 0.8062, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, weighted_recall: 0.845, number_of_instances: 2000, precision: 0.8451, predictive_accuracy: 0.845, prior_entropy: 3.3219, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5071, unweighted_recall: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8236, kappa: 0.8044, kb_relative_information_score: 0.7914, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, weighted_recall: 0.824, number_of_instances: 2000, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 3.3219, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.5285, unweighted_recall: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.789, kappa: 0.7667, kb_relative_information_score: 0.7412, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, weighted_recall: 0.79, number_of_instances: 2000, precision: 0.7902, predictive_accuracy: 0.79, prior_entropy: 3.3219, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5757, unweighted_recall: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.7866, kappa: 0.7644, kb_relative_information_score: 0.7378, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.18, weighted_recall: 0.788, number_of_instances: 2000, precision: 0.7901, predictive_accuracy: 0.788, prior_entropy: 3.3219, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5924, unweighted_recall: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.7598, kappa: 0.7322, kb_relative_information_score: 0.7731, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, weighted_recall: 0.759, number_of_instances: 2000, precision: 0.7664, predictive_accuracy: 0.759, prior_entropy: 3.3219, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, unweighted_recall: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.7598, kappa: 0.7322, kb_relative_information_score: 0.7731, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, weighted_recall: 0.759, number_of_instances: 2000, precision: 0.7664, predictive_accuracy: 0.759, prior_entropy: 3.3219, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, unweighted_recall: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.7598, kappa: 0.7322, kb_relative_information_score: 0.7731, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, weighted_recall: 0.759, number_of_instances: 2000, precision: 0.7664, predictive_accuracy: 0.759, prior_entropy: 3.3219, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, unweighted_recall: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.7598, kappa: 0.7322, kb_relative_information_score: 0.7731, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, weighted_recall: 0.759, number_of_instances: 2000, precision: 0.7664, predictive_accuracy: 0.759, prior_entropy: 3.3219, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, unweighted_recall: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.7598, kappa: 0.7322, kb_relative_information_score: 0.7731, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, weighted_recall: 0.759, number_of_instances: 2000, precision: 0.7664, predictive_accuracy: 0.759, prior_entropy: 3.3219, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, unweighted_recall: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8338, kappa: 0.815, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5136, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8332, kappa: 0.815, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8339, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8338, kappa: 0.815, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5136, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8338, kappa: 0.815, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5136, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8338, kappa: 0.815, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5136, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8332, kappa: 0.815, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8339, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8338, kappa: 0.815, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5136, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8338, kappa: 0.815, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5136, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8338, kappa: 0.815, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5136, unweighted_recall: 0.8335,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8338, kappa: 0.815, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5136, unweighted_recall: 0.8335,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8349, kappa: 0.8161, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, weighted_recall: 0.8345, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.8345, prior_entropy: 3.3219, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057, unweighted_recall: 0.8345,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8332, kappa: 0.815, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8339, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8332, kappa: 0.815, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8339, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8349, kappa: 0.8161, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, weighted_recall: 0.8345, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.8345, prior_entropy: 3.3219, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057, unweighted_recall: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8349, kappa: 0.8161, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, weighted_recall: 0.8345, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.8345, prior_entropy: 3.3219, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057, unweighted_recall: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8349, kappa: 0.8161, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, weighted_recall: 0.8345, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.8345, prior_entropy: 3.3219, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057, unweighted_recall: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8349, kappa: 0.8161, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, weighted_recall: 0.8345, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.8345, prior_entropy: 3.3219, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057, unweighted_recall: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8349, kappa: 0.8161, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, weighted_recall: 0.8345, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.8345, prior_entropy: 3.3219, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057, unweighted_recall: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8349, kappa: 0.8161, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, weighted_recall: 0.8345, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.8345, prior_entropy: 3.3219, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057, unweighted_recall: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8332, kappa: 0.815, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8339, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8349, kappa: 0.8161, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, weighted_recall: 0.8345, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.8345, prior_entropy: 3.3219, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057, unweighted_recall: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8332, kappa: 0.815, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8339, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8332, kappa: 0.815, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8339, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8332, kappa: 0.815, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8339, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8332, kappa: 0.815, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, weighted_recall: 0.8335, number_of_instances: 2000, precision: 0.8339, predictive_accuracy: 0.8335, prior_entropy: 3.3219, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046, unweighted_recall: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8349, kappa: 0.8161, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, weighted_recall: 0.8345, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.8345, prior_entropy: 3.3219, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057, unweighted_recall: 0.8345,

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