Metadata-Version: 2.1
Name: classification-reportzr
Version: 0.0.1b3
Summary: Automate machine learning classification task report for Pak Zuherman
Home-page: https://github.com/khalidm31415/classification-reportzr
License: UNKNOWN
Description: # Classification Reportzr
        
        Automate machine learning classification task report for Pak Zuherman
        
        ## Install
        
        ```bash
        pip install -U classification-reportzr
        ```
        
        ## Test
        
        ```bash
        pytest -v
        ```
        
        ## Usage
        
        ### Setting-up the experiment
        
        ```python
        from sklearn import datasets
        from sklearn.svm import SVC
        
        from classification_reportzr.reporterzr import Reporterzr
        
        iris = datasets.load_iris()
        samples, labels = iris.data[:-1], iris.target[:-1]
        
        svc_kwargs = {'C':100.0, 'gamma':0.001}
        svc_reporter = Reporterzr(SVC, svc_kwargs)
        ```
        
        ### Run The Experiment
        
        ```python
        # `test_sizes` defaults to [0.1, ..., 0.9]
        # `rep` defaults to 10
        svc_reporter.run_experiment(samples, labels, test_sizes=[0.1, 0.2, 0.3], rep=7)
        ```
        
        ### Get Accuracy Report
        
        ```python
        print(svc_reporter.report())
        ```
        
        prints
        
        ```
        Split: 10.0% test - 90.0% train
                   mean     stdev                                      accuracies
        train  0.973429  0.006758  [0.978, 0.985, 0.963, 0.97, 0.978, 0.97, 0.97]
        test   0.961714  0.033156     [0.933, 1.0, 1.0, 1.0, 0.933, 0.933, 0.933]
        
        Split: 20.0% test - 80.0% train
                   mean     stdev                                        accuracies
        train  0.965143  0.010343  [0.958, 0.966, 0.966, 0.983, 0.958, 0.95, 0.975]
        test   0.952429  0.039326         [1.0, 0.967, 1.0, 0.9, 0.9, 0.967, 0.933]
        
        Split: 30.0% test - 70.0% train
                   mean     stdev                                         accuracies
        train  0.976571  0.009897    [0.971, 0.962, 0.99, 0.971, 0.99, 0.971, 0.981]
        test   0.942857  0.026368  [0.933, 0.978, 0.911, 0.978, 0.911, 0.933, 0.956]
        ```
        
Keywords: classification report,laporan klasifikasi,zuherman,zr
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
