package edu.ntnu.idi.goldfish;

import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.List;
import org.apache.commons.lang3.StringUtils;
import org.apache.lucene.benchmark.quality.QualityStats.RecallPoint;
import org.apache.mahout.cf.taste.eval.IRStatistics;


public class Result {

	Evaluation evaluation;
	
	// RMSE
	double RMSE;
	
	// AAD/MAE 
	double AAD;
	
	// IR stats (precision, recall)
	double precision;
	double recall;
	
	// model build timing
	long buildTime;
	
	// recommendation timing
	long recTime;
	
	public Result(Evaluation evaluation, double RMSE, double AAD, double precision, double recall, long buildTime, long recTime) {
		this.evaluation = evaluation;

		this.RMSE = RMSE;
		this.AAD = AAD;
		
		this.precision = precision;
		this.recall = recall;
		
		this.buildTime = buildTime;
		this.recTime = recTime;
	}
	
	public int getTopN() {
		return evaluation.getTopN();
	}
	
	public double getKTL() {
		return evaluation.getKTL();
	}
	
	public String getSimilarity() {
		return evaluation instanceof MemoryBased ? ((MemoryBased) evaluation).similarity.toString() : "";
	}
	
	public String toString() {
		
		Formatter formats = new Formatter();
		formats.put("%-9s", evaluation.toString());
		formats.put("%19s", getSimilarity());
		formats.put("K/T/L: %5.2f", getKTL());
		formats.put("Top-N: %3d", getTopN());
//		formats.put("RMSE: %6.3f", RMSE);
//		formats.put("AAD: %6.3f", AAD);
		formats.put("Precision: %6.3f", precision);
		formats.put("Recall: %6.3f", recall);
		formats.put("Build time: %3d", buildTime);
		formats.put("Rec time: %3d", recTime);

		return formats.join(" | ");
	}
	
	public String toCSV() {
		Formatter formats = new Formatter();
		formats.put("%s", evaluation.toString());
		formats.put("%s", getSimilarity());
		formats.put("%.2f", getKTL());
		formats.put("%d", getTopN());
//		formats.put("%.3f", RMSE);
//		formats.put("%.3f", AAD);
		formats.put("%.3f", precision);
		formats.put("%.3f", recall);
		formats.put("%d", buildTime);
		formats.put("%d", recTime);
		
		return formats.join(",");
	}
	
	public static Result getAverage(List<Result> results) {
		int N = results.size();
		double totalRMSE = 0, totalAAD = 0, totalPrecision = 0, totalRecall = 0;
		long totalBuildTime = 0, totalRecTime = 0;  
		for(Result res : results) {
			totalRMSE += res.RMSE;
			totalAAD += res.AAD;
			totalPrecision += res.precision;
			totalRecall += res.recall;
			totalBuildTime += res.buildTime;
			totalRecTime += res.recTime;
		}
		return new Result(results.get(0).evaluation, totalRMSE / N, totalAAD / N, totalPrecision / N, totalRecall / N, totalBuildTime / N, totalRecTime / N);
	}
}

package edu.ntnu.idi.goldfish;

import java.util.List;

public class Result {

	Evaluation evaluation;
	
	// RMSE
	double RMSE;
	
	// AAD/MAE 
	double AAD;
	
	// IR stats (precision, recall)
	double precision;
	double recall;
	
	// model build timing
	long buildTime;
	
	// recommendation timing
	long recTime;
	
	public Result(Evaluation evaluation, double RMSE, double AAD, double precision, double recall, long buildTime, long recTime) {
		this.evaluation = evaluation;

		this.RMSE = RMSE;
		this.AAD = AAD;
		
		this.precision = precision;
		this.recall = recall;
		
		this.buildTime = buildTime;
		this.recTime = recTime;
	}
	
	public int getTopN() {
		return evaluation.getTopN();
	}
	
	public double getKTL() {
		return evaluation.getKTL();
	}
	
	public String getSimilarity() {
		return evaluation instanceof MemoryBased ? ((MemoryBased) evaluation).similarity.toString() : "";
	}
	
	public String toString() {
		
		Formatter formats = new Formatter();
		formats.put("%-11s", evaluation.toString());
		formats.put("%19s", getSimilarity());
		formats.put("K/T/L: %5.2f", getKTL());
		formats.put("Top-N: %3d", getTopN());
//		formats.put("RMSE: %6.3f", RMSE);
//		formats.put("AAD: %6.3f", AAD);
		formats.put("Precision: %6.3f", precision);
		formats.put("Recall: %6.3f", recall);
		formats.put("Build time: %4d", buildTime);
		formats.put("Rec time: %2d", recTime);

		return formats.join(" | ");
	}
	
	public String toCSV() {
		Formatter formats = new Formatter();
		formats.put("%s", evaluation.toString());
		formats.put("%s", getSimilarity());
		formats.put("%.2f", getKTL());
		formats.put("%d", getTopN());
//		formats.put("%.3f", RMSE);
//		formats.put("%.3f", AAD);
		formats.put("%.3f", precision);
		formats.put("%.3f", recall);
		formats.put("%d", buildTime);
		formats.put("%d", recTime);
		
		return formats.join(",");
	}
	
	public static Result getAverage(List<Result> results) {
		int N = results.size();
		double totalRMSE = 0, totalAAD = 0, totalPrecision = 0, totalRecall = 0;
		long totalBuildTime = 0, totalRecTime = 0;  
		for(Result res : results) {
			totalRMSE += res.RMSE;
			totalAAD += res.AAD;
			totalPrecision += res.precision;
			totalRecall += res.recall;
			totalBuildTime += res.buildTime;
			totalRecTime += res.recTime;
		}
		return new Result(results.get(0).evaluation, totalRMSE / N, totalAAD / N, totalPrecision / N, totalRecall / N, totalBuildTime / N, totalRecTime / N);
	}
}

Remove unused imports and fix toString format.