Batch classification for Weka 3.7+

batch-classiffier.sh

#!/bin/sh

# This script assumes that the working directory contains 20 training and test arff files
# with prefix training- and test-, respectively. It trains a model using RotationForest (with
# default parameters) and saves the statistical data to results-n.arff where n is the number of 
# trainig file. 

# Then it prints out the correctly classified instances information to all-results.txt

for i in {1..20}; do
    trainingf=(training-$i*)
    testf=(test-$i*)
    resultsf="results-$i.arff"
    if [ -e "$trainingf" ] && [ -e "$testf" ]; then
        echo "Test $i"
        java -cp $WEKA_HOME/weka.jar weka.Run InputMappedClassifier -I -trim -o -v -t $trainingf -T $testf -W weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2   > $resultsf 2> $resultsf
        echo "Test $i\t" >> all-results.txt
        grep "Correct.*\d\(.*\)\s%$" $resultsf >> all-results.txt
    fi
done