Closed hmgomes closed 6 years ago
This pull request addresses #86.
Added the column Runtime to the output. Currently using System.nanoTime() for a rough estimation of runtime.
System.nanoTime()
Changed the output of a log message (now using logInfo()).
logInfo()
Using datasets elecNormNew.arff and covtypeNorm.arff.
Verify output of a binary classification problem (elecNormNew)
Run: ./spark.sh "200 EvaluatePrequential -l (trees.HoeffdingTree -l 0 -t 0.05 -g 200 -o)-s (FileReader -f ../data/elecNormNew.arff -k 454 -d 10 -i 45312) -e (BasicClassificationEvaluator -c -m) -h" 1> results_binary.txt 2> log_binary.log
./spark.sh "200 EvaluatePrequential -l (trees.HoeffdingTree -l 0 -t 0.05 -g 200 -o)-s (FileReader -f ../data/elecNormNew.arff -k 454 -d 10 -i 45312) -e (BasicClassificationEvaluator -c -m) -h" 1> results_binary.txt 2> log_binary.log
Output: results_binary.txt should contain the classification performance results, including the Runtime column.
Explicitly defining the base learner as the HoeffdingTree.
Run: ./spark.sh "200 EvaluatePrequential -l (trees.HoeffdingTree -l 0 -t 0.05 -g 200 -o) -s (FileReader -f ../data/covtypeNorm.arff -k 5810 -d 10 -i 581012) -e (BasicClassificationEvaluator -c -m) -h" 1> results_multiclass.txt 2> log_multiclass.log
./spark.sh "200 EvaluatePrequential -l (trees.HoeffdingTree -l 0 -t 0.05 -g 200 -o) -s (FileReader -f ../data/covtypeNorm.arff -k 5810 -d 10 -i 581012) -e (BasicClassificationEvaluator -c -m) -h" 1> results_multiclass.txt 2> log_multiclass.log
Output: results_multiclass.txt should contain the classification performance results, including the Runtime column.
Summary of the changes
This pull request addresses #86.
BasicClassificationEvaluator
Added the column Runtime to the output. Currently using
System.nanoTime()for a rough estimation of runtime.HoeffdingTree
Changed the output of a log message (now using
logInfo()).Tests
Using datasets elecNormNew.arff and covtypeNorm.arff.
Verify output of a binary classification problem (elecNormNew)
Run:
./spark.sh "200 EvaluatePrequential -l (trees.HoeffdingTree -l 0 -t 0.05 -g 200 -o)-s (FileReader -f ../data/elecNormNew.arff -k 454 -d 10 -i 45312) -e (BasicClassificationEvaluator -c -m) -h" 1> results_binary.txt 2> log_binary.logOutput: results_binary.txt should contain the classification performance results, including the Runtime column.
Explicitly defining the base learner as the HoeffdingTree.
Run:
./spark.sh "200 EvaluatePrequential -l (trees.HoeffdingTree -l 0 -t 0.05 -g 200 -o) -s (FileReader -f ../data/covtypeNorm.arff -k 5810 -d 10 -i 581012) -e (BasicClassificationEvaluator -c -m) -h" 1> results_multiclass.txt 2> log_multiclass.logOutput: results_multiclass.txt should contain the classification performance results, including the Runtime column.