Metadata-Version: 2.1
Name: predictiveness-curve
Version: 0.2.2
Summary: Plot predictiveness curve
Home-page: https://github.com/yamasakih/predictiveness-curve
Author: Hiroyuki Yamasaki
Author-email: yamasaki.phone@gmail.com
License: MIT
Description: # predictiveness-curve
        
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        ## What's Predictiveness Curve?
        Predictiveness curve is a method to display two graphs simultaneously. In both figures, the x-axis is risk percentile, the y-axis of one figure is the value of risk, and the y-axis of the other figure is true positive fractions. This makes it possible to visualize whether the model of risk fits in the medical field and which value of risk should be used as the basis for the model. See [Am. J. Epidemiol. 2008; 167:362–368](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2939738/) for details.
        
        ## Install
        
        This module implements functions to plot `Predictiveness Curve`.  
        Install with :
        
        `pip install predictiveness-curve`
        
        ## Example
        
        ```python
        from predictiveness_curve import plot_predictiveness_curve
        from sklearn.datasets import load_breast_cancer
        from sklearn.ensemble import RandomForestClassifier
        from sklearn.model_selection import train_test_split
        
        data = load_breast_cancer()
        y = data.target
        X = data.data
        
        training_X, test_X, training_y, test_y = train_test_split(
            X, y, test_size=0.5, random_state=42)
        
        clsf = RandomForestClassifier(n_estimators=100, random_state=42)
        clsf.fit(training_X, training_y)
        probabilities = clsf.predict_proba(test_X)[:, 1]
        
        plot_predictiveness_curve(probabilities, test_y)
        ```
        
        See [notebooks directory](https://github.com/yamasakih/predictiveness-curve/tree/master/notebooks) for details.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
