Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 19118 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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19118 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.807, kappa: 0.7861, kb_relative_information_score: 1600.3734, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8075, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.5459, scimark_benchmark: 932.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8403, kappa: 0.8228, kb_relative_information_score: 1670.4003, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8406, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.589, scimark_benchmark: 944.204,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8195, kappa: 0.7983, kb_relative_information_score: 1646.5288, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8213, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5732, scimark_benchmark: 939.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.7861, kappa: 0.7639, kb_relative_information_score: 1363.9367, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7881, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6167, scimark_benchmark: 883.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8196, kappa: 0.7972, kb_relative_information_score: 1632.6494, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.823, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6044, scimark_benchmark: 949.0426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8266, kappa: 0.8061, kb_relative_information_score: 1666.5249, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8167, kappa: 0.7967, kb_relative_information_score: 1557.4053, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8177, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5346, scimark_benchmark: 908.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.6493, kappa: 0.6117, kb_relative_information_score: 1271.1299, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6489, predictive_accuracy: 0.6505, prior_entropy: 3.3219, recall: 0.6505, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.8788, scimark_benchmark: 945.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.7844, kappa: 0.7611, kb_relative_information_score: 1605.4702, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7882, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6123, scimark_benchmark: 925.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8296, kappa: 0.8106, kb_relative_information_score: 1681.2226, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8303, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.5215, scimark_benchmark: 937.5701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8392, kappa: 0.8189, kb_relative_information_score: 1671.6278, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8426, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5812, scimark_benchmark: 934.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8429, kappa: 0.825, kb_relative_information_score: 1671.4044, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8445, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5902, scimark_benchmark: 919.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8207, kappa: 0.8011, kb_relative_information_score: 1552.1383, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8218, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5406, scimark_benchmark: 926.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8281, kappa: 0.8067, kb_relative_information_score: 1657.8428, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.831, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5863, scimark_benchmark: 929.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.555, f_measure: 0.099, kappa: 0.11, kb_relative_information_score: 324.6965, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0725, predictive_accuracy: 0.199, prior_entropy: 3.3219, recall: 0.199, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4003, root_relative_squared_error: 1.3342, scimark_benchmark: 948.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.3467, kappa: 0.2906, kb_relative_information_score: 664.5677, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3374, predictive_accuracy: 0.3615, prior_entropy: 3.3219, recall: 0.3615, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.1912, scimark_benchmark: 937.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8286, kappa: 0.8111, kb_relative_information_score: 1509.3428, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8281, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5493, scimark_benchmark: 943.1115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.1566, kappa: 0.1039, kb_relative_information_score: 320.2537, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3064, predictive_accuracy: 0.1935, prior_entropy: 3.3219, recall: 0.1935, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3005, root_relative_squared_error: 1.0018, scimark_benchmark: 946.2085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624, scimark_benchmark: 932.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8, kappa: 0.7767, kb_relative_information_score: 1635.8073, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8031, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5712, scimark_benchmark: 928.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.5597, kappa: 0.5406, kb_relative_information_score: 611.0189, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6313, predictive_accuracy: 0.5865, prior_entropy: 3.3219, recall: 0.5865, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9087, scimark_benchmark: 942.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.5201, kappa: 0.5156, kb_relative_information_score: 635.3289, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6336, predictive_accuracy: 0.564, prior_entropy: 3.3219, recall: 0.564, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9137, scimark_benchmark: 921.6592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8349, kappa: 0.8172, kb_relative_information_score: 572.8459, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8352, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9125, scimark_benchmark: 928.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624, scimark_benchmark: 944.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8371, kappa: 0.8178, kb_relative_information_score: 1663.2322, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8387, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.593, scimark_benchmark: 946.2362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8022, kappa: 0.7794, kb_relative_information_score: 1638.9879, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8049, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5762, scimark_benchmark: 921.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8388, kappa: 0.8189, kb_relative_information_score: 1661.8055, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8411, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5965, scimark_benchmark: 940.6344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624, scimark_benchmark: 918.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8219, kappa: 0.8, kb_relative_information_score: 1645.2049, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.825, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.6006, scimark_benchmark: 947.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.6778, kappa: 0.6428, kb_relative_information_score: 1327.5779, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.678, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8452, scimark_benchmark: 910.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8395, kappa: 0.8194, kb_relative_information_score: 1663.3689, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8422, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.5961, scimark_benchmark: 946.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8019, kappa: 0.7806, kb_relative_information_score: 1614.425, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8026, predictive_accuracy: 0.8025, prior_entropy: 3.3219, recall: 0.8025, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.5585, scimark_benchmark: 921.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8337, kappa: 0.8144, kb_relative_information_score: 1658.9336, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8347, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5575, scimark_benchmark: 914.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.1246, kappa: 0.0489, kb_relative_information_score: 254.8154, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2555, predictive_accuracy: 0.144, prior_entropy: 3.3219, recall: 0.144, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0125, scimark_benchmark: 941.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.0731, kappa: 0.1106, kb_relative_information_score: 476.4739, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1455, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9581, scimark_benchmark: 935.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.785, kappa: 0.7617, kb_relative_information_score: 1605.3895, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.789, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6123, scimark_benchmark: 943.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.7837, kappa: 0.7611, kb_relative_information_score: 1583.3118, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7847, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.6191, scimark_benchmark: 905.7822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8286, kappa: 0.8089, kb_relative_information_score: 1664.3118, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5714, scimark_benchmark: 936.1659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.7861, kappa: 0.7639, kb_relative_information_score: 1363.9367, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7881, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6167, scimark_benchmark: 944.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8414, kappa: 0.8233, kb_relative_information_score: 1669.7878, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8427, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5905, scimark_benchmark: 884.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.0893, kappa: 0.1072, kb_relative_information_score: 494.714, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0711, predictive_accuracy: 0.1965, prior_entropy: 3.3219, recall: 0.1965, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.957, scimark_benchmark: 945.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7998, kappa: 0.78, kb_relative_information_score: 1494.3544, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8006, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5834, scimark_benchmark: 899.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7655, kappa: 0.7433, kb_relative_information_score: 1185.4327, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7637, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6715, scimark_benchmark: 596.4886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.2655, kappa: 0.2639, kb_relative_information_score: 469.571, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3076, predictive_accuracy: 0.3375, prior_entropy: 3.3219, recall: 0.3375, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.9498, scimark_benchmark: 919.6753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.8101, kappa: 0.7872, kb_relative_information_score: 1620.4964, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8136, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.2262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5968, scimark_benchmark: 595.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8278, kappa: 0.8056, kb_relative_information_score: 1637.106, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8327, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6121, scimark_benchmark: 897.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7655, kappa: 0.7433, kb_relative_information_score: 1185.4327, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7637, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6715, scimark_benchmark: 941.9637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.01, build_memory: 52329118.4, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 942.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.3926, build_memory: 57293831.2, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763, scimark_benchmark: 935.3006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.3744, build_memory: 103007396, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763, scimark_benchmark: 946.3603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.3496, build_memory: 64085300, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763, scimark_benchmark: 939.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.4468, build_memory: 98343040.8, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763, scimark_benchmark: 939.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 6.2904, build_memory: 98690216, f_measure: 0.8141, kappa: 0.7933, kb_relative_information_score: 1605.4178, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5347, scimark_benchmark: 943.4777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 6.3081, build_memory: 52342917.6, f_measure: 0.8141, kappa: 0.7933, kb_relative_information_score: 1605.4178, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5347, scimark_benchmark: 947.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 6.7314, build_memory: 110539049.6, f_measure: 0.8141, kappa: 0.7933, kb_relative_information_score: 1605.4178, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5347, scimark_benchmark: 942.7325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 15.7082, build_memory: 1376277459.2, f_measure: 0.8154, kappa: 0.795, kb_relative_information_score: 1610.8284, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8161, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5275, scimark_benchmark: 896.5468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, build_cpu_time: 24.1632, build_memory: 81035859.2, f_measure: 0.8194, kappa: 0.8, kb_relative_information_score: 1614.1389, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8197, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.5238, scimark_benchmark: 906.3213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, build_cpu_time: 49.542, build_memory: 122006075.2, f_measure: 0.8215, kappa: 0.8022, kb_relative_information_score: 1615.9531, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.5211, scimark_benchmark: 948.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, build_cpu_time: 57.1408, build_memory: 102286926.4, f_measure: 0.8215, kappa: 0.8022, kb_relative_information_score: 1615.9531, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.5211, scimark_benchmark: 944.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 471.5777, build_memory: 219858425.6, f_measure: 0.8252, kappa: 0.8061, kb_relative_information_score: 1562.2952, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.826, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.5283, scimark_benchmark: 947.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, build_cpu_time: 231.6272, build_memory: 790035209.6, f_measure: 0.8244, kappa: 0.805, kb_relative_information_score: 1559.9286, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8253, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.5309, scimark_benchmark: 940.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 8623.9784, build_memory: 579344192, f_measure: 0.8488, kappa: 0.8311, kb_relative_information_score: 1696.7752, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8502, predictive_accuracy: 0.848, prior_entropy: 3.3219, recall: 0.848, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4906, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, build_cpu_time: 0.0179, build_memory: 380857488, f_measure: 0.7603, kappa: 0.7328, kb_relative_information_score: 1546.1697, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7669, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, scimark_benchmark: 1469.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 3872.3191, build_memory: 1335262308, f_measure: 0.8441, kappa: 0.8261, kb_relative_information_score: 1696.3361, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8453, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4912, scimark_benchmark: 943.3898,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 2127.1013, build_memory: 793631940, f_measure: 0.8455, kappa: 0.8272, kb_relative_information_score: 1695.304, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8469, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.493, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, build_cpu_time: 1062.8639, build_memory: 126988674.4, f_measure: 0.8431, kappa: 0.8244, kb_relative_information_score: 1693.2685, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8448, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4958, scimark_benchmark: 1228.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, build_cpu_time: 531.0406, build_memory: 419508330.4, f_measure: 0.8405, kappa: 0.8217, kb_relative_information_score: 1688.2201, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8419, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5033, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, build_cpu_time: 0.0054, build_memory: 1622849634.4, f_measure: 0.5103, kappa: 0.5022, kb_relative_information_score: 640.3239, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6331, predictive_accuracy: 0.552, prior_entropy: 3.3219, recall: 0.552, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.9123, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, build_cpu_time: 0.0067, build_memory: 336119202.4, f_measure: 0.5137, kappa: 0.5139, kb_relative_information_score: 636.5574, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6388, predictive_accuracy: 0.5625, prior_entropy: 3.3219, recall: 0.5625, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9133, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, build_cpu_time: 0.0291, build_memory: 694215847.2, f_measure: 0.5201, kappa: 0.5156, kb_relative_information_score: 635.3289, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6336, predictive_accuracy: 0.564, prior_entropy: 3.3219, recall: 0.564, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9137, scimark_benchmark: 898.2249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, build_cpu_time: 0.0356, build_memory: 881518836.8, f_measure: 0.5145, kappa: 0.5122, kb_relative_information_score: 635.8702, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6299, predictive_accuracy: 0.561, prior_entropy: 3.3219, recall: 0.561, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9137, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, build_cpu_time: 0.0518, build_memory: 974133649.6, f_measure: 0.5234, kappa: 0.5161, kb_relative_information_score: 636.6632, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6248, predictive_accuracy: 0.5645, prior_entropy: 3.3219, recall: 0.5645, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9135, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, build_cpu_time: 12489.9675, build_memory: 817821744.8, f_measure: 0.8339, kappa: 0.8156, kb_relative_information_score: 1696.3623, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.495, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, build_cpu_time: 6195.4021, build_memory: 918513544.8, f_measure: 0.8326, kappa: 0.8144, kb_relative_information_score: 1697.2954, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4943, scimark_benchmark: 915.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, build_cpu_time: 4.365, build_memory: 1125002890.4, f_measure: 0.7648, kappa: 0.7378, kb_relative_information_score: 1567.7644, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.771, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.6379, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, build_cpu_time: 5.7747, build_memory: 190102641.6, f_measure: 0.8209, kappa: 0.8022, kb_relative_information_score: 1532.8609, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8212, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5598, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, build_cpu_time: 5.9895, build_memory: 517718970.4, f_measure: 0.8209, kappa: 0.8022, kb_relative_information_score: 1532.8609, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8212, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5598, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, build_cpu_time: 6.4078, build_memory: 166974164, f_measure: 0.8209, kappa: 0.8022, kb_relative_information_score: 1532.8609, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8212, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5598, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, build_cpu_time: 3.3454, build_memory: 660853923.2, f_measure: 0.3708, kappa: 0.3394, kb_relative_information_score: 796.6458, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3658, predictive_accuracy: 0.4055, prior_entropy: 3.3219, recall: 0.4055, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.9509, scimark_benchmark: 939.4327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, build_cpu_time: 4.3032, build_memory: 778587201.6, f_measure: 0.3708, kappa: 0.3394, kb_relative_information_score: 796.6458, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3658, predictive_accuracy: 0.4055, prior_entropy: 3.3219, recall: 0.4055, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.9509, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, build_cpu_time: 1.6427, build_memory: 373174348.8, f_measure: 0.3633, kappa: 0.3311, kb_relative_information_score: 798.5642, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3567, predictive_accuracy: 0.398, prior_entropy: 3.3219, recall: 0.398, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9536, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, build_cpu_time: 1.7288, build_memory: 843583186.4, f_measure: 0.3633, kappa: 0.3311, kb_relative_information_score: 798.5642, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3567, predictive_accuracy: 0.398, prior_entropy: 3.3219, recall: 0.398, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9536, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, build_cpu_time: 0.896, build_memory: 422501472, f_measure: 0.353, kappa: 0.3172, kb_relative_information_score: 788.0108, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3448, predictive_accuracy: 0.3855, prior_entropy: 3.3219, recall: 0.3855, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9622, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, build_cpu_time: 0.4548, build_memory: 1539544922.4, f_measure: 0.3649, kappa: 0.3233, kb_relative_information_score: 790.2067, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3565, predictive_accuracy: 0.391, prior_entropy: 3.3219, recall: 0.391, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9603, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, build_cpu_time: 0.4519, build_memory: 473395936.8, f_measure: 0.3649, kappa: 0.3233, kb_relative_information_score: 790.2067, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3565, predictive_accuracy: 0.391, prior_entropy: 3.3219, recall: 0.391, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9603, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, build_cpu_time: 0.7425, build_memory: 949958442.4, f_measure: 0.3649, kappa: 0.3233, kb_relative_information_score: 790.2067, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3565, predictive_accuracy: 0.391, prior_entropy: 3.3219, recall: 0.391, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9603, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, build_cpu_time: 15.4837, build_memory: 849027320.8, f_measure: 0.8276, kappa: 0.81, kb_relative_information_score: 1478.1344, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8278, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5614, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, build_cpu_time: 35.8044, build_memory: 2870671415.2, f_measure: 0.8379, kappa: 0.8211, kb_relative_information_score: 1479.8671, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8384, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5602, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 63.337, build_memory: 1136075700.8, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1479.2263, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8327, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5605, scimark_benchmark: 937.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 152.3306, build_memory: 2388423027.2, f_measure: 0.8342, kappa: 0.8172, kb_relative_information_score: 1479.936, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8343, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5601, scimark_benchmark: 945.081,

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