Old Path: /pureml_evaluate/metrics/model/"metric_name"/"metric_name".py
New Path : /pureml_evaluate/metrics/"metric_name"/"metric_name".py

Wheras "metric_name" is as follows


Following are the list of model metrics generally used for Classification and Regression problems:


     1	accuracy
     2	additive_chi2_kernel
     3	adjusted_mutual_info_score
     4	adjusted_rand_score
     5	auc
     6	average_precision_score
     7	balanced_accuracy_score
     8	brier_score_loss
     9	calinski_harabasz_score
    10	chi2_kernel
    11	class_likelihood_ratios
    12	cohen_kappa_score
    13	completeness_score
    14	confusion_matrix
    15	contingency_matrix
    16	cosine_distances
    17	cosine_similarity
    18	coverage_error
    19	d2_absolute_error_score
    20	d2_pinball_score
    21	d2_tweedie_score
    22	davies_bouldin_score
    23	dcg_score
    24	det_curve
    25	euclidean_distances
    26	explained_variance_score
    27	f1_score
    28	fbeta_score
    29	fowlkes_mallows_score
    30	hamming_loss
    31	haversine_distances
    32	hinge_loss
    33	homogeneity_completeness_v_measure
    34	homogeneity_score
    35	jaccard_score
    36	label_ranking_average_precision_score
    37	label_ranking_loss
    38	laplacian_kernel
    39	linear_kernel
    40	log_loss
    41	manhattan_distances
    42	matthews_corrcoef
    43	max_error
    44	mean_absolute_error
    45	mean_absolute_percentage_error
    46	mean_gamma_deviance
    47	mean_pinball_loss
    48	mean_poisson_deviance
    49	mean_squared_error
    50	mean_squared_log_error
    51	mean_tweedie_deviance
    52	median_absolute_error
    53	multilabel_confusion_matrix
    54	mutual_info_score
    55	nan_euclidean_distances
    56	ndcg_score
    57	normalized_mutual_info_score
    58	pair_confusion_matrix
    59	paired_cosine_distances
    60	paired_distances
    61	paired_euclidean_distances
    62	paired_manhattan_distances
    63	pairwise_distances
    64	pairwise_distances_argmin
    65	pairwise_distances_argmin_min
    66	pairwise_distances_chunked
    67	pairwise_kernels
    68	polynomial_kernel
    69	precision
    70	precision_recall_curve
    71	r2_score
    72	rand_score
    73	rbf_kernel
    74	recall
    75	roc_auc
    76	roc_curve
    77	sigmoid_kernel
    78	silhouette_samples
    79	silhouette_score
    80	top_k_accuracy_score
    81	v_measure_score
    82	zero_one_loss