[python/머신러닝] scikit-learn의 분류 성능평가 (sklearn.metrics)

sklearn.metrics 메소드를 살펴보자 1. confusion matrix 형태의 데이터를 관리한다. : 클래스 분류 결과를 실제(정답) 클래스와 예측 클래스를 축으로 가진 형태 sklearn.metrics.confusion_matrix(y_true, y_pred, *, labels=None, sample_weight=None, normaliz...

Meter.CreateHistogram 메서드 (System.Diagnostics.Metrics)

정의 ; 네임스페이스: System.Diagnostics.Metrics, 어셈블리: System.Diagnostics.DiagnosticSource.dll, 패키지: System.Diagnostics.DiagnosticSource v9.0.0-preview.5.24306.7

Axioms | Free Full-Text | On t-Conorm Based Fuzzy (Pseudo)metrics

We present an alternative approach to the concept of a fuzzy (pseudo)metric using t-conorms instead of t-norms and call them t-conorm based fuzzy (pseudo)metrics or just CB-fuzzy (pseudo)metrics. W...

Add Student's t-test aggregation support · Issue #53692 · elastic/elasticsearch

I would like to discuss adding a multivalued metrics aggregation that will apply unpaired and paired two-sample t-tests to two samples selected based on filters or fields or a combination of both....

T-Mobile metrics leak reveals why reps feel pressure to get you to add accessories and lines

A list of metrics for a T-Mobile ME working at a corporate location shows why reps feel pressure to get customers to add accessories.

t_epoch_metrics_summary inconsistent with t_block_metrics · Issue #134 · migalabs/goteth · GitHub

Description We found inconsistencies on the tables t_epoch_metrics_summary and t_block_metrics on the following columns: f_num_exited_vals != sum(f_voluntary_exits) f_num_att != sum(f_attestations)

sklearn.metrics.confusion_matrix(판정표)

p(positive) 예측값이 1 n(negetive) 예측값이 0 t(true) 맞았다 f(false) 틀렸다 TN : 예측값이 0인데 맞았다 FN : 예측값이 0인데 틀렸다 TP : 예측값이 1인데 맞았다 TN : 예측값이 1인테 틀렸다. # TN FP # FN TP from sklearn.metrics import confusion_matrix...

Meter Class (System.Diagnostics.Metrics)

Methods Expand table CreateCounter<T>(String, String, String) Create a metrics Counter object. CreateCounter<T>(String, String, String, IEnumerable<KeyValuePair<String,Object>>) Creates a...

IJMS | Free Full-Text | A Paratope-Enhanced Method to Determine Breadth and Dept

Quantitative metrics for vaccine-induced T-cell responses are an important need for developing correlates of protection and their use in vaccine-based medical management and population health. Mole...

System.Diagnostics.Metrics Namespace

Metrics are numerical measurements reported over time, most often used to monitor the health of an application and generate alerts. For example, a web service might track how many requests it recei...