diff --git a/.gitignore b/.gitignore
deleted file mode 100644
index e9d4d79..0000000
--- a/.gitignore
+++ /dev/null
@@ -1,4 +0,0 @@
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diff --git a/backup_89/testing.data.2 b/backup_89/testing.data.2
deleted file mode 100644
index 20f5749..0000000
--- a/backup_89/testing.data.2
+++ /dev/null
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diff --git a/backup_89/training.data.2 b/backup_89/training.data.2
deleted file mode 100644
index f484f86..0000000
--- a/backup_89/training.data.2
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diff --git a/backup_96/visualize.png b/backup_96/visualize.png
deleted file mode 100644
index cb17bc1..0000000
--- a/backup_96/visualize.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f1dcfaa0b423bc755addfde5f33bf758391f98131d998d5641626cb5cd5cbcbc
-size 13488
diff --git a/robocode-svm b/robocode-svm
index d4e6364..4f1d5d1 100755
--- a/robocode-svm
+++ b/robocode-svm
@@ -10,9 +10,11 @@ results="$datadir/battle.data"
 settings="$datadir/settings.last.battle"
 training="$datadir/training.scale.data"
 testing="$datadir/testing.scale.data"
+model="$datadir/model.data"
+output="$datadir/output.data"
 
 # Battle parameters
-rounds=6
+rounds=1000
 width=500
 height=500
 robot1="sample.Corners"
@@ -71,6 +73,10 @@ if [[ "$lines" -eq "$rounds" ]] ; then
 	# Scale the results to interval <0, 1> and split them to training set and testing set;
 	# misuse tee for 'process substituion' and send its stdout do /dev/null
 	svm-scale -l 0 -u 1 "$results" | tee  >(head -n "$tr" > "$training") >(tail -n "$te" > "$testing") > /dev/null
+	# Train the SVM with the training data
+	svm-train -c 10 -g 2 "$training" "$model"
+	# Check the accuracy of the testing data against the SVM model made of training data
+	svm-predict "$testing" "$model" "$output" | grep "Accuracy"
 # Generate the battle data (run 1000 battles) for a SVM classification
 else
 	# Repeat the battle desired number of times (till the battle data file does not contain $rounds entries