/** * */ package com.personalityextractor.evaluation; /** * Evaluation Metrics * * @author akishore * */ public class EvalMetrics { double fp; double fn; double tp; double tn; double f1; double err; public EvalMetrics() { fp = 0; fn = 0; tp = 0; tn = 0; err = 0; } public void incrFP() { fp++; } public void incrFN() { fn++; } public void incrTP() { tp++; } public void incrTN() { tn++; } public double getFp() { return fp; } public double getFn() { return fn; } public double getTp() { return tp; } public double getTn() { return tn; } public double calculateF1Measure() { double precision = calculatePrecision(); double recall = calculateRecall(); if ((precision + recall) == 0) { return 0; } f1 = 2 * (precision * recall) / (precision + recall); return f1; } public double calculateError() { if((tp + fp) == 0) { return 0; } err = (fp/(tp+fp)); return err; } private double calculatePrecision() { try { if((tp + fp) == 0) { return 0; } } catch (Exception e) { return 0; } return 1.0*tp/(1.0*tp + 1.0*fp); } private double calculateRecall() { try { if((tp + fn) == 0) { return 0; } } catch (Exception e) { return 0; } return 1.0*tp/(1.0*tp + 1.0*fn); } }