0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8218, kappa: 0.6855, kb_relative_information_score: 0.5871, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8208, number_of_instances: 625, precision: 0.8233, predictive_accuracy: 0.8208, prior_entropy: 1.3181, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.293, root_relative_squared_error: 0.6727, unweighted_recall: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7896, kappa: 0.6113, kb_relative_information_score: 0.5511, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7728, number_of_instances: 625, precision: 0.8074, predictive_accuracy: 0.7728, prior_entropy: 1.3181, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8935, unweighted_recall: 0.5647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7916, kappa: 0.597, kb_relative_information_score: 0.5839, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7312, number_of_instances: 625, precision: 0.9278, predictive_accuracy: 0.7312, prior_entropy: 1.3181, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9719, unweighted_recall: 0.7886,
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
77 runs0 likes0 downloads0 reach0 impact
Nearest centroid classifier. Each class is represented by its centroid, with test samples classified to the class with the nearest centroid.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9536, kappa: 0.9225, kb_relative_information_score: 0.8227, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9568, number_of_instances: 625, precision: 0.9583, predictive_accuracy: 0.9568, prior_entropy: 1.3181, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3939, unweighted_recall: 0.8615,
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
131 runs0 likes0 downloads0 reach0 impact
Multi-layer Perceptron classifier. This model optimizes the log-loss function using LBFGS or stochastic gradient descent. .. versionadded:: 0.18
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.821, kappa: 0.7086, kb_relative_information_score: 0.576, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8384, number_of_instances: 625, precision: 0.8065, predictive_accuracy: 0.8384, prior_entropy: 1.3181, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.281, root_relative_squared_error: 0.6452, unweighted_recall: 0.6065,
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
79 runs0 likes0 downloads0 reach0 impact
Classifier implementing the k-nearest neighbors vote.
3 runs0 likes0 downloads0 reach3 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8554, kappa: 0.7655, kb_relative_information_score: 0.7127, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8704, number_of_instances: 625, precision: 0.8483, predictive_accuracy: 0.8704, prior_entropy: 1.3181, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.6748, unweighted_recall: 0.6691,
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
89 runs0 likes0 downloads0 reach0 impact
Linear perceptron classifier.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8268, kappa: 0.7371, kb_relative_information_score: 0.749, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8576, number_of_instances: 625, precision: 0.8136, predictive_accuracy: 0.8576, prior_entropy: 1.3181, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4945, unweighted_recall: 0.626,
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
92 runs0 likes0 downloads0 reach0 impact
Logistic Regression (aka logit, MaxEnt) classifier. In the multiclass case, the training algorithm uses the one-vs-rest (OvR) scheme if the 'multi_class' option is set to 'ovr', and uses the…
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8262, kappa: 0.6918, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.3798, weighted_recall: 0.824, number_of_instances: 625, precision: 0.8283, predictive_accuracy: 0.824, prior_entropy: 1.3181, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.6463, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.828, kappa: 0.6967, kb_relative_information_score: 0.5897, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8272, number_of_instances: 625, precision: 0.8291, predictive_accuracy: 0.8272, prior_entropy: 1.3181, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.66, unweighted_recall: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7887, kappa: 0.6089, kb_relative_information_score: 0.5486, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7712, number_of_instances: 625, precision: 0.8072, predictive_accuracy: 0.7712, prior_entropy: 1.3181, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8966, unweighted_recall: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8213, kappa: 0.6834, kb_relative_information_score: 0.5749, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8192, number_of_instances: 625, precision: 0.8235, predictive_accuracy: 0.8192, prior_entropy: 1.3181, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.6478, unweighted_recall: 0.5926,
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
94 runs0 likes0 downloads0 reach0 impact
An extra-trees classifier. This class implements a meta estimator that fits a number of randomized decision trees (a.k.a. extra-trees) on various sub-samples of the dataset and uses averaging to…
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8221, kappa: 0.6837, kb_relative_information_score: 0.5965, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8192, number_of_instances: 625, precision: 0.8253, predictive_accuracy: 0.8192, prior_entropy: 1.3181, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.6532, unweighted_recall: 0.5982,
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
103 runs0 likes0 downloads0 reach0 impact
A Bagging classifier. A Bagging classifier is an ensemble meta-estimator that fits base classifiers each on random subsets of the original dataset and then aggregate their individual predictions…
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7939, kappa: 0.6191, kb_relative_information_score: 0.5584, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7776, number_of_instances: 625, precision: 0.8111, predictive_accuracy: 0.7776, prior_entropy: 1.3181, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.884, unweighted_recall: 0.5681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 0.164, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8347, unweighted_recall: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1915, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9497, kappa: 0.8884, kb_relative_information_score: 0.8844, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9499, number_of_instances: 699, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.9293, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4708, unweighted_recall: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7423, kappa: 0.7122, kb_relative_information_score: 0.7291, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.18, weighted_recall: 0.741, number_of_instances: 2000, precision: 0.7442, predictive_accuracy: 0.741, prior_entropy: 3.3219, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.7587, unweighted_recall: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7903, kappa: 0.6117, kb_relative_information_score: 0.5511, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7728, number_of_instances: 625, precision: 0.8089, predictive_accuracy: 0.7728, prior_entropy: 1.3181, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8935, unweighted_recall: 0.5647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7499, kappa: 0.72, kb_relative_information_score: 0.7365, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, weighted_recall: 0.748, number_of_instances: 2000, precision: 0.7522, predictive_accuracy: 0.748, prior_entropy: 3.3219, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.7483, unweighted_recall: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7923, kappa: 0.6163, kb_relative_information_score: 0.5559, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.3798, weighted_recall: 0.776, number_of_instances: 625, precision: 0.8095, predictive_accuracy: 0.776, prior_entropy: 1.3181, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.8872, unweighted_recall: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 0.164, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8347, unweighted_recall: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1915, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9411, kappa: 0.8693, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9413, number_of_instances: 699, precision: 0.9411, predictive_accuracy: 0.9413, prior_entropy: 0.9293, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5096, unweighted_recall: 0.9316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7533, kappa: 0.7261, kb_relative_information_score: 0.7422, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, weighted_recall: 0.7535, number_of_instances: 2000, precision: 0.7537, predictive_accuracy: 0.7535, prior_entropy: 3.3219, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, unweighted_recall: 0.7535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7913, kappa: 0.614, kb_relative_information_score: 0.5535, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7744, number_of_instances: 625, precision: 0.8092, predictive_accuracy: 0.7744, prior_entropy: 1.3181, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8903, unweighted_recall: 0.5658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.757, kappa: 0.7289, kb_relative_information_score: 0.7448, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, weighted_recall: 0.756, number_of_instances: 2000, precision: 0.7585, predictive_accuracy: 0.756, prior_entropy: 3.3219, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7364, unweighted_recall: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7913, kappa: 0.614, kb_relative_information_score: 0.5535, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7744, number_of_instances: 625, precision: 0.8091, predictive_accuracy: 0.7744, prior_entropy: 1.3181, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8903, unweighted_recall: 0.5658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 0.164, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8347, unweighted_recall: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1914, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9469, kappa: 0.882, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9471, number_of_instances: 699, precision: 0.9469, predictive_accuracy: 0.9471, prior_entropy: 0.9293, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.4841, unweighted_recall: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7521, kappa: 0.7228, kb_relative_information_score: 0.7391, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, weighted_recall: 0.7505, number_of_instances: 2000, precision: 0.7542, predictive_accuracy: 0.7505, prior_entropy: 3.3219, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7446, unweighted_recall: 0.7505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7901, kappa: 0.6098, kb_relative_information_score: 0.5486, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7712, number_of_instances: 625, precision: 0.8104, predictive_accuracy: 0.7712, prior_entropy: 1.3181, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8966, unweighted_recall: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7923, kappa: 0.6163, kb_relative_information_score: 0.5559, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.3798, weighted_recall: 0.776, number_of_instances: 625, precision: 0.8095, predictive_accuracy: 0.776, prior_entropy: 1.3181, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.8872, unweighted_recall: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 0.164, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8347, unweighted_recall: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1914, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9439, kappa: 0.8754, kb_relative_information_score: 0.8712, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9442, number_of_instances: 699, precision: 0.944, predictive_accuracy: 0.9442, prior_entropy: 0.9293, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.497, unweighted_recall: 0.9338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7482, kappa: 0.7194, kb_relative_information_score: 0.7359, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, weighted_recall: 0.7475, number_of_instances: 2000, precision: 0.7492, predictive_accuracy: 0.7475, prior_entropy: 3.3219, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.7491, unweighted_recall: 0.7475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7939, kappa: 0.6191, kb_relative_information_score: 0.5584, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7776, number_of_instances: 625, precision: 0.8114, predictive_accuracy: 0.7776, prior_entropy: 1.3181, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.884, unweighted_recall: 0.5681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 0.164, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8347, unweighted_recall: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1914, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9497, kappa: 0.8884, kb_relative_information_score: 0.8844, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9499, number_of_instances: 699, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.9293, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4708, unweighted_recall: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7575, kappa: 0.7289, kb_relative_information_score: 0.7448, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, weighted_recall: 0.756, number_of_instances: 2000, precision: 0.7592, predictive_accuracy: 0.756, prior_entropy: 3.3219, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7364, unweighted_recall: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7897, kappa: 0.6113, kb_relative_information_score: 0.5511, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7728, number_of_instances: 625, precision: 0.8078, predictive_accuracy: 0.7728, prior_entropy: 1.3181, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8935, unweighted_recall: 0.5647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 0.164, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8347, unweighted_recall: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1914, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9455, kappa: 0.879, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9456, number_of_instances: 699, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9293, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906, unweighted_recall: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7515, kappa: 0.7222, kb_relative_information_score: 0.7386, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, weighted_recall: 0.75, number_of_instances: 2000, precision: 0.7538, predictive_accuracy: 0.75, prior_entropy: 3.3219, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7454, unweighted_recall: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7912, kappa: 0.614, kb_relative_information_score: 0.5535, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7744, number_of_instances: 625, precision: 0.809, predictive_accuracy: 0.7744, prior_entropy: 1.3181, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8903, unweighted_recall: 0.5658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 0.164, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8347, unweighted_recall: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.4522, kappa: 0.4094, kb_relative_information_score: 0.1914, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, weighted_recall: 0.4685, number_of_instances: 2000, precision: 0.4851, predictive_accuracy: 0.4685, prior_entropy: 3.3219, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9388, unweighted_recall: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9454, kappa: 0.8787, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9456, number_of_instances: 699, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.9293, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906, unweighted_recall: 0.9359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7528, kappa: 0.7244, kb_relative_information_score: 0.7407, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, weighted_recall: 0.752, number_of_instances: 2000, precision: 0.7541, predictive_accuracy: 0.752, prior_entropy: 3.3219, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.7424, unweighted_recall: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7894, kappa: 0.6094, kb_relative_information_score: 0.5486, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7712, number_of_instances: 625, precision: 0.8087, predictive_accuracy: 0.7712, prior_entropy: 1.3181, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8966, unweighted_recall: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.3746, kappa: 0.3111, kb_relative_information_score: 0.1936, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.18, weighted_recall: 0.38, number_of_instances: 2000, precision: 0.4506, predictive_accuracy: 0.38, prior_entropy: 3.3219, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.9492, unweighted_recall: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.2787, kappa: 0.2614, kb_relative_information_score: 0.131, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.074, weighted_recall: 0.2898, number_of_instances: 20000, precision: 0.3099, predictive_accuracy: 0.2898, prior_entropy: 4.6998, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.9843, unweighted_recall: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8932, kappa: 0.8811, kb_relative_information_score: 0.8881, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.18, weighted_recall: 0.893, number_of_instances: 2000, precision: 0.894, predictive_accuracy: 0.893, prior_entropy: 3.3219, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4876, unweighted_recall: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7903, kappa: 0.6117, kb_relative_information_score: 0.5511, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7728, number_of_instances: 625, precision: 0.8087, predictive_accuracy: 0.7728, prior_entropy: 1.3181, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8935, unweighted_recall: 0.5647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8817, kappa: 0.8768, kb_relative_information_score: 0.8801, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, weighted_recall: 0.8816, number_of_instances: 20000, precision: 0.8819, predictive_accuracy: 0.8816, prior_entropy: 4.6998, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4964, unweighted_recall: 0.8813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8822, kappa: 0.8774, kb_relative_information_score: 0.8807, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, weighted_recall: 0.8822, number_of_instances: 20000, precision: 0.8824, predictive_accuracy: 0.8822, prior_entropy: 4.6998, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.4951, unweighted_recall: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.3746, kappa: 0.3111, kb_relative_information_score: 0.1936, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.18, weighted_recall: 0.38, number_of_instances: 2000, precision: 0.4506, predictive_accuracy: 0.38, prior_entropy: 3.3219, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.9492, unweighted_recall: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9173, kappa: 0.8424, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9344, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0282, unweighted_recall: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.2787, kappa: 0.2614, kb_relative_information_score: 0.131, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.074, weighted_recall: 0.2898, number_of_instances: 20000, precision: 0.3099, predictive_accuracy: 0.2898, prior_entropy: 4.6998, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.9843, unweighted_recall: 0.2899,
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
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An AdaBoost classifier. An AdaBoost [1] classifier is a meta-estimator that begins by fitting a classifier on the original dataset and then fits additional copies of the classifier on the same dataset…
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.893, kappa: 0.8811, kb_relative_information_score: 0.8881, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.18, weighted_recall: 0.893, number_of_instances: 2000, precision: 0.8932, predictive_accuracy: 0.893, prior_entropy: 3.3219, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4876, unweighted_recall: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7884, kappa: 0.607, kb_relative_information_score: 0.5462, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7696, number_of_instances: 625, precision: 0.8086, predictive_accuracy: 0.7696, prior_entropy: 1.3181, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.8998, unweighted_recall: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, weighted_recall: 0.8815, number_of_instances: 20000, precision: 0.8817, predictive_accuracy: 0.8815, prior_entropy: 4.6998, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966, unweighted_recall: 0.8812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9586, kappa: 0.9173, kb_relative_information_score: 0.9173, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.5, weighted_recall: 0.9586, number_of_instances: 556, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 1, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4068, unweighted_recall: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.6965, kappa: 0.3317, kb_relative_information_score: 0.3051, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6966, number_of_instances: 768, precision: 0.6964, predictive_accuracy: 0.6966, prior_entropy: 0.9331, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1556, unweighted_recall: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9624, kappa: 0.9561, kb_relative_information_score: 0.9594, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9623, number_of_instances: 2310, precision: 0.9624, predictive_accuracy: 0.9623, prior_entropy: 2.8074, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.2964, unweighted_recall: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.4801, kappa: 0.1962, kb_relative_information_score: 0.2591, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4807, number_of_instances: 1473, precision: 0.4797, predictive_accuracy: 0.4807, prior_entropy: 1.539, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.581, root_relative_squared_error: 1.2519, unweighted_recall: 0.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8248, kappa: 0.805, kb_relative_information_score: 0.8165, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.18, weighted_recall: 0.8245, number_of_instances: 2000, precision: 0.8262, predictive_accuracy: 0.8245, prior_entropy: 3.3219, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6245, unweighted_recall: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9411, kappa: 0.8693, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9413, number_of_instances: 699, precision: 0.9411, predictive_accuracy: 0.9413, prior_entropy: 0.9293, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5096, unweighted_recall: 0.9316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7586, kappa: 0.7289, kb_relative_information_score: 0.7448, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, weighted_recall: 0.756, number_of_instances: 2000, precision: 0.7618, predictive_accuracy: 0.756, prior_entropy: 3.3219, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7364, unweighted_recall: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8891, kappa: 0.8767, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, weighted_recall: 0.889, number_of_instances: 2000, precision: 0.8894, predictive_accuracy: 0.889, prior_entropy: 3.3219, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.149, root_relative_squared_error: 0.4967, unweighted_recall: 0.889,