commit fa6e1bfdf462d007431326ece603e2c6d27c2d44
parent af5ed06408451e386fc2c14d47a5732252523704
Author: AndrewLockVI <andrew@laack.co>
Date: Fri, 9 May 2025 10:17:00 -0500
Added comprehensive cart-elc results.
Diffstat:
7 files changed, 252 insertions(+), 1 deletion(-)
diff --git a/.gitignore b/.gitignore
@@ -1,7 +1,6 @@
# ---> C++
# Prerequisites
*.d
-*.txt
# graphs and such
*.html
diff --git a/results/cart-elc/resultsBright.txt b/results/cart-elc/resultsBright.txt
@@ -0,0 +1,37 @@
+Results:
+
+gini:
+LCs: 1, Depth: 1 Avg Accuracy: 97.4 (Std: 0.3), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 97.8 (Std: 0.3), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 98.4 (Std: 0.3), Avg # of Leaves: 6.2 (Std: 1.0)
+LCs: 1, Depth: 4 Avg Accuracy: 97.6 (Std: 0.4), Avg # of Leaves: 10.4 (Std: 1.5)
+LCs: 1, Depth: 5 Avg Accuracy: 95.1 (Std: 0.3), Avg # of Leaves: 12.3 (Std: 2.4)
+LCs: 2, Depth: 1 Avg Accuracy: 97.9 (Std: 0.2), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 98.9 (Std: 0.3), Avg # of Leaves: 3.6 (Std: 0.1)
+LCs: 2, Depth: 3 Avg Accuracy: 97.7 (Std: 0.3), Avg # of Leaves: 5.8 (Std: 0.2)
+LCs: 2, Depth: 4 Avg Accuracy: 97.1 (Std: 0.4), Avg # of Leaves: 6.3 (Std: 0.5)
+LCs: 2, Depth: 5 Avg Accuracy: 96.2 (Std: 0.3), Avg # of Leaves: 6.7 (Std: 0.5)
+
+twoing:
+LCs: 1, Depth: 1 Avg Accuracy: 97.5 (Std: 0.3), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 97.5 (Std: 0.3), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 97.3 (Std: 0.3), Avg # of Leaves: 6.2 (Std: 1.0)
+LCs: 1, Depth: 4 Avg Accuracy: 98.7 (Std: 0.5), Avg # of Leaves: 11.2 (Std: 1.7)
+LCs: 1, Depth: 5 Avg Accuracy: 96.3 (Std: 0.5), Avg # of Leaves: 12.3 (Std: 2.0)
+LCs: 2, Depth: 1 Avg Accuracy: 97.6 (Std: 0.2), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 98.9 (Std: 0.2), Avg # of Leaves: 3.7 (Std: 0.2)
+LCs: 2, Depth: 3 Avg Accuracy: 97.6 (Std: 0.3), Avg # of Leaves: 5.0 (Std: 0.2)
+LCs: 2, Depth: 4 Avg Accuracy: 97.1 (Std: 0.3), Avg # of Leaves: 5.7 (Std: 0.2)
+LCs: 2, Depth: 5 Avg Accuracy: 96.3 (Std: 0.3), Avg # of Leaves: 6.5 (Std: 0.3)
+
+information gain:
+LCs: 1, Depth: 1 Avg Accuracy: 96.1 (Std: 0.4), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 96.5 (Std: 0.2), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 97.3 (Std: 0.3), Avg # of Leaves: 6.4 (Std: 1.0)
+LCs: 1, Depth: 4 Avg Accuracy: 98.7 (Std: 0.3), Avg # of Leaves: 12.2 (Std: 1.2)
+LCs: 1, Depth: 5 Avg Accuracy: 98.4 (Std: 0.3), Avg # of Leaves: 13.4 (Std: 2.1)
+LCs: 2, Depth: 1 Avg Accuracy: 97.4 (Std: 0.2), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 98.9 (Std: 0.2), Avg # of Leaves: 3.8 (Std: 0.2)
+LCs: 2, Depth: 3 Avg Accuracy: 97.7 (Std: 0.2), Avg # of Leaves: 5.3 (Std: 0.2)
+LCs: 2, Depth: 4 Avg Accuracy: 97.2 (Std: 0.4), Avg # of Leaves: 6.0 (Std: 0.2)
+LCs: 2, Depth: 5 Avg Accuracy: 96.1 (Std: 0.4), Avg # of Leaves: 6.9 (Std: 0.3)
diff --git a/results/cart-elc/resultsCancer.txt b/results/cart-elc/resultsCancer.txt
@@ -0,0 +1,37 @@
+Results:
+
+gini:
+LCs: 1, Depth: 1 Avg Accuracy: 91.7 (Std: 0.4), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 93.9 (Std: 0.7), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 94.5 (Std: 0.6), Avg # of Leaves: 7.8 (Std: 0.1)
+LCs: 1, Depth: 4 Avg Accuracy: 94.8 (Std: 0.3), Avg # of Leaves: 13.1 (Std: 0.3)
+LCs: 1, Depth: 5 Avg Accuracy: 94.8 (Std: 0.4), Avg # of Leaves: 18.4 (Std: 0.6)
+LCs: 2, Depth: 1 Avg Accuracy: 96.3 (Std: 0.4), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 95.7 (Std: 0.4), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 95.9 (Std: 0.5), Avg # of Leaves: 6.6 (Std: 0.2)
+LCs: 2, Depth: 4 Avg Accuracy: 95.4 (Std: 0.5), Avg # of Leaves: 9.2 (Std: 0.5)
+LCs: 2, Depth: 5 Avg Accuracy: 95.1 (Std: 0.5), Avg # of Leaves: 11.7 (Std: 0.5)
+
+twoing:
+LCs: 1, Depth: 1 Avg Accuracy: 91.7 (Std: 0.4), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 93.9 (Std: 0.7), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 94.5 (Std: 0.6), Avg # of Leaves: 7.8 (Std: 0.1)
+LCs: 1, Depth: 4 Avg Accuracy: 94.8 (Std: 0.3), Avg # of Leaves: 13.1 (Std: 0.3)
+LCs: 1, Depth: 5 Avg Accuracy: 94.8 (Std: 0.4), Avg # of Leaves: 18.4 (Std: 0.6)
+LCs: 2, Depth: 1 Avg Accuracy: 96.3 (Std: 0.4), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 95.7 (Std: 0.4), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 96.0 (Std: 0.5), Avg # of Leaves: 6.6 (Std: 0.2)
+LCs: 2, Depth: 4 Avg Accuracy: 95.5 (Std: 0.5), Avg # of Leaves: 9.2 (Std: 0.5)
+LCs: 2, Depth: 5 Avg Accuracy: 95.1 (Std: 0.5), Avg # of Leaves: 11.8 (Std: 0.5)
+
+information gain:
+LCs: 1, Depth: 1 Avg Accuracy: 91.5 (Std: 0.6), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 92.0 (Std: 0.4), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 94.7 (Std: 0.8), Avg # of Leaves: 7.6 (Std: 0.1)
+LCs: 1, Depth: 4 Avg Accuracy: 94.8 (Std: 0.4), Avg # of Leaves: 12.2 (Std: 0.5)
+LCs: 1, Depth: 5 Avg Accuracy: 94.6 (Std: 0.5), Avg # of Leaves: 16.0 (Std: 0.6)
+LCs: 2, Depth: 1 Avg Accuracy: 96.0 (Std: 0.4), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 95.7 (Std: 0.2), Avg # of Leaves: 4.0 (Std: 0.1)
+LCs: 2, Depth: 3 Avg Accuracy: 95.5 (Std: 0.4), Avg # of Leaves: 6.6 (Std: 0.3)
+LCs: 2, Depth: 4 Avg Accuracy: 95.1 (Std: 0.5), Avg # of Leaves: 8.8 (Std: 0.4)
+LCs: 2, Depth: 5 Avg Accuracy: 94.9 (Std: 0.5), Avg # of Leaves: 10.6 (Std: 0.5)
diff --git a/results/cart-elc/resultsDiabetes.txt b/results/cart-elc/resultsDiabetes.txt
@@ -0,0 +1,37 @@
+Results:
+
+gini:
+LCs: 1, Depth: 1 Avg Accuracy: 72.0 (Std: 0.6), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 74.2 (Std: 0.7), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 74.0 (Std: 1.1), Avg # of Leaves: 8.0 (Std: 0.1)
+LCs: 1, Depth: 4 Avg Accuracy: 73.6 (Std: 1.2), Avg # of Leaves: 15.1 (Std: 0.4)
+LCs: 1, Depth: 5 Avg Accuracy: 74.6 (Std: 1.1), Avg # of Leaves: 25.3 (Std: 0.9)
+LCs: 2, Depth: 1 Avg Accuracy: 73.4 (Std: 0.7), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 74.5 (Std: 1.3), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 73.1 (Std: 1.4), Avg # of Leaves: 7.9 (Std: 0.1)
+LCs: 2, Depth: 4 Avg Accuracy: 73.2 (Std: 1.5), Avg # of Leaves: 14.7 (Std: 0.4)
+LCs: 2, Depth: 5 Avg Accuracy: 71.9 (Std: 1.2), Avg # of Leaves: 23.8 (Std: 1.0)
+
+twoing:
+LCs: 1, Depth: 1 Avg Accuracy: 72.0 (Std: 0.6), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 74.2 (Std: 0.7), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 74.0 (Std: 1.1), Avg # of Leaves: 8.0 (Std: 0.1)
+LCs: 1, Depth: 4 Avg Accuracy: 73.6 (Std: 1.2), Avg # of Leaves: 15.1 (Std: 0.4)
+LCs: 1, Depth: 5 Avg Accuracy: 74.6 (Std: 1.1), Avg # of Leaves: 25.3 (Std: 0.9)
+LCs: 2, Depth: 1 Avg Accuracy: 73.4 (Std: 0.7), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 74.5 (Std: 1.3), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 73.1 (Std: 1.4), Avg # of Leaves: 7.9 (Std: 0.1)
+LCs: 2, Depth: 4 Avg Accuracy: 73.2 (Std: 1.5), Avg # of Leaves: 14.7 (Std: 0.4)
+LCs: 2, Depth: 5 Avg Accuracy: 71.9 (Std: 1.2), Avg # of Leaves: 23.8 (Std: 1.0)
+
+information gain:
+LCs: 1, Depth: 1 Avg Accuracy: 71.2 (Std: 0.9), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 74.0 (Std: 1.1), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 73.8 (Std: 1.0), Avg # of Leaves: 8.0 (Std: 0.1)
+LCs: 1, Depth: 4 Avg Accuracy: 72.8 (Std: 1.2), Avg # of Leaves: 14.8 (Std: 0.3)
+LCs: 1, Depth: 5 Avg Accuracy: 73.5 (Std: 0.8), Avg # of Leaves: 24.2 (Std: 0.8)
+LCs: 2, Depth: 1 Avg Accuracy: 71.5 (Std: 0.6), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 73.6 (Std: 0.7), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 73.0 (Std: 0.8), Avg # of Leaves: 7.9 (Std: 0.1)
+LCs: 2, Depth: 4 Avg Accuracy: 73.2 (Std: 1.2), Avg # of Leaves: 14.1 (Std: 0.2)
+LCs: 2, Depth: 5 Avg Accuracy: 72.1 (Std: 1.0), Avg # of Leaves: 21.4 (Std: 0.7)
diff --git a/results/cart-elc/resultsDim.txt b/results/cart-elc/resultsDim.txt
@@ -0,0 +1,37 @@
+Results:
+
+gini:
+LCs: 1, Depth: 1 Avg Accuracy: 69.0 (Std: 0.9), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 78.5 (Std: 1.2), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 76.4 (Std: 1.5), Avg # of Leaves: 8.0 (Std: 0.0)
+LCs: 1, Depth: 4 Avg Accuracy: 80.0 (Std: 2.7), Avg # of Leaves: 15.8 (Std: 0.1)
+LCs: 1, Depth: 5 Avg Accuracy: 84.5 (Std: 1.9), Avg # of Leaves: 24.3 (Std: 3.4)
+LCs: 2, Depth: 1 Avg Accuracy: 81.6 (Std: 0.9), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 89.6 (Std: 0.6), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 94.2 (Std: 0.3), Avg # of Leaves: 7.2 (Std: 1.5)
+LCs: 2, Depth: 4 Avg Accuracy: 94.6 (Std: 0.3), Avg # of Leaves: 9.8 (Std: 4.2)
+LCs: 2, Depth: 5 Avg Accuracy: 95.1 (Std: 0.5), Avg # of Leaves: 12.4 (Std: 8.3)
+
+twoing:
+LCs: 1, Depth: 1 Avg Accuracy: 71.6 (Std: 1.3), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 78.6 (Std: 1.9), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 77.1 (Std: 1.6), Avg # of Leaves: 8.0 (Std: 0.0)
+LCs: 1, Depth: 4 Avg Accuracy: 80.8 (Std: 1.5), Avg # of Leaves: 15.7 (Std: 0.2)
+LCs: 1, Depth: 5 Avg Accuracy: 83.6 (Std: 1.6), Avg # of Leaves: 24.8 (Std: 3.8)
+LCs: 2, Depth: 1 Avg Accuracy: 82.4 (Std: 1.3), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 88.6 (Std: 0.8), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 93.2 (Std: 0.6), Avg # of Leaves: 7.2 (Std: 1.5)
+LCs: 2, Depth: 4 Avg Accuracy: 95.2 (Std: 0.5), Avg # of Leaves: 9.8 (Std: 4.2)
+LCs: 2, Depth: 5 Avg Accuracy: 94.6 (Std: 0.7), Avg # of Leaves: 12.3 (Std: 5.1)
+
+information gain:
+LCs: 1, Depth: 1 Avg Accuracy: 65.1 (Std: 1.6), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 79.6 (Std: 0.8), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 77.7 (Std: 1.2), Avg # of Leaves: 8.0 (Std: 0.0)
+LCs: 1, Depth: 4 Avg Accuracy: 79.1 (Std: 3.2), Avg # of Leaves: 15.9 (Std: 0.0)
+LCs: 1, Depth: 5 Avg Accuracy: 83.1 (Std: 2.4), Avg # of Leaves: 25.7 (Std: 3.9)
+LCs: 2, Depth: 1 Avg Accuracy: 82.6 (Std: 1.7), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 90.8 (Std: 1.3), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 92.6 (Std: 0.4), Avg # of Leaves: 7.2 (Std: 1.5)
+LCs: 2, Depth: 4 Avg Accuracy: 94.9 (Std: 0.5), Avg # of Leaves: 9.9 (Std: 4.5)
+LCs: 2, Depth: 5 Avg Accuracy: 92.1 (Std: 0.5), Avg # of Leaves: 13.3 (Std: 7.4)
diff --git a/results/cart-elc/resultsHousing.txt b/results/cart-elc/resultsHousing.txt
@@ -0,0 +1,37 @@
+Results:
+
+gini:
+LCs: 1, Depth: 1 Avg Accuracy: 81.8 (Std: 0.7), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 83.5 (Std: 0.7), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 81.0 (Std: 1.1), Avg # of Leaves: 8.0 (Std: 0.0)
+LCs: 1, Depth: 4 Avg Accuracy: 81.2 (Std: 1.4), Avg # of Leaves: 14.6 (Std: 0.3)
+LCs: 1, Depth: 5 Avg Accuracy: 81.6 (Std: 1.3), Avg # of Leaves: 23.6 (Std: 0.4)
+LCs: 2, Depth: 1 Avg Accuracy: 82.2 (Std: 0.8), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 81.3 (Std: 0.8), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 80.6 (Std: 1.0), Avg # of Leaves: 7.9 (Std: 0.1)
+LCs: 2, Depth: 4 Avg Accuracy: 81.4 (Std: 0.9), Avg # of Leaves: 14.0 (Std: 0.5)
+LCs: 2, Depth: 5 Avg Accuracy: 81.2 (Std: 1.2), Avg # of Leaves: 19.7 (Std: 0.8)
+
+twoing:
+LCs: 1, Depth: 1 Avg Accuracy: 81.8 (Std: 0.7), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 83.5 (Std: 0.7), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 81.0 (Std: 1.1), Avg # of Leaves: 8.0 (Std: 0.0)
+LCs: 1, Depth: 4 Avg Accuracy: 81.3 (Std: 1.4), Avg # of Leaves: 14.6 (Std: 0.3)
+LCs: 1, Depth: 5 Avg Accuracy: 81.5 (Std: 1.3), Avg # of Leaves: 23.6 (Std: 0.4)
+LCs: 2, Depth: 1 Avg Accuracy: 82.2 (Std: 0.8), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 81.3 (Std: 0.8), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 80.6 (Std: 1.1), Avg # of Leaves: 7.9 (Std: 0.1)
+LCs: 2, Depth: 4 Avg Accuracy: 81.2 (Std: 0.9), Avg # of Leaves: 14.0 (Std: 0.5)
+LCs: 2, Depth: 5 Avg Accuracy: 81.2 (Std: 1.3), Avg # of Leaves: 19.7 (Std: 0.7)
+
+information gain:
+LCs: 1, Depth: 1 Avg Accuracy: 81.4 (Std: 0.9), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 81.6 (Std: 0.9), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 80.9 (Std: 0.8), Avg # of Leaves: 8.0 (Std: 0.1)
+LCs: 1, Depth: 4 Avg Accuracy: 80.7 (Std: 1.9), Avg # of Leaves: 13.9 (Std: 0.3)
+LCs: 1, Depth: 5 Avg Accuracy: 81.7 (Std: 1.5), Avg # of Leaves: 21.1 (Std: 0.8)
+LCs: 2, Depth: 1 Avg Accuracy: 81.8 (Std: 1.0), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 81.7 (Std: 0.9), Avg # of Leaves: 4.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 80.0 (Std: 1.1), Avg # of Leaves: 7.6 (Std: 0.2)
+LCs: 2, Depth: 4 Avg Accuracy: 81.0 (Std: 1.4), Avg # of Leaves: 12.0 (Std: 0.4)
+LCs: 2, Depth: 5 Avg Accuracy: 81.5 (Std: 1.1), Avg # of Leaves: 16.0 (Std: 0.7)
diff --git a/results/cart-elc/resultsIris.txt b/results/cart-elc/resultsIris.txt
@@ -0,0 +1,67 @@
+Results:
+
+gini:
+LCs: 1, Depth: 1 Avg Accuracy: 61.1 (Std: 1.6), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 94.2 (Std: 0.8), Avg # of Leaves: 3.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 95.1 (Std: 0.8), Avg # of Leaves: 4.8 (Std: 0.1)
+LCs: 1, Depth: 4 Avg Accuracy: 94.5 (Std: 1.1), Avg # of Leaves: 6.9 (Std: 0.2)
+LCs: 1, Depth: 5 Avg Accuracy: 94.1 (Std: 0.9), Avg # of Leaves: 7.7 (Std: 0.2)
+LCs: 2, Depth: 1 Avg Accuracy: 59.5 (Std: 3.0), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 94.1 (Std: 1.2), Avg # of Leaves: 3.1 (Std: 0.1)
+LCs: 2, Depth: 3 Avg Accuracy: 94.1 (Std: 1.2), Avg # of Leaves: 4.1 (Std: 0.1)
+LCs: 2, Depth: 4 Avg Accuracy: 94.2 (Std: 0.6), Avg # of Leaves: 4.8 (Std: 0.1)
+LCs: 2, Depth: 5 Avg Accuracy: 94.0 (Std: 0.7), Avg # of Leaves: 5.1 (Std: 0.2)
+LCs: 3, Depth: 1 Avg Accuracy: 58.8 (Std: 3.2), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 3, Depth: 2 Avg Accuracy: 94.7 (Std: 1.2), Avg # of Leaves: 3.1 (Std: 0.1)
+LCs: 3, Depth: 3 Avg Accuracy: 93.9 (Std: 1.2), Avg # of Leaves: 3.9 (Std: 0.1)
+LCs: 3, Depth: 4 Avg Accuracy: 93.8 (Std: 1.1), Avg # of Leaves: 4.1 (Std: 0.2)
+LCs: 3, Depth: 5 Avg Accuracy: 93.8 (Std: 1.1), Avg # of Leaves: 4.1 (Std: 0.2)
+LCs: 4, Depth: 1 Avg Accuracy: 57.6 (Std: 1.9), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 4, Depth: 2 Avg Accuracy: 95.1 (Std: 0.9), Avg # of Leaves: 3.0 (Std: 0.1)
+LCs: 4, Depth: 3 Avg Accuracy: 94.1 (Std: 1.3), Avg # of Leaves: 3.7 (Std: 0.1)
+LCs: 4, Depth: 4 Avg Accuracy: 94.1 (Std: 1.3), Avg # of Leaves: 3.7 (Std: 0.1)
+LCs: 4, Depth: 5 Avg Accuracy: 94.1 (Std: 1.3), Avg # of Leaves: 3.7 (Std: 0.1)
+
+twoing:
+LCs: 1, Depth: 1 Avg Accuracy: 61.1 (Std: 1.6), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 94.2 (Std: 0.8), Avg # of Leaves: 3.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 95.1 (Std: 0.8), Avg # of Leaves: 4.8 (Std: 0.1)
+LCs: 1, Depth: 4 Avg Accuracy: 94.5 (Std: 1.1), Avg # of Leaves: 6.9 (Std: 0.2)
+LCs: 1, Depth: 5 Avg Accuracy: 94.1 (Std: 0.9), Avg # of Leaves: 7.7 (Std: 0.2)
+LCs: 2, Depth: 1 Avg Accuracy: 59.5 (Std: 3.0), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 94.1 (Std: 1.2), Avg # of Leaves: 3.1 (Std: 0.1)
+LCs: 2, Depth: 3 Avg Accuracy: 94.1 (Std: 1.2), Avg # of Leaves: 4.1 (Std: 0.1)
+LCs: 2, Depth: 4 Avg Accuracy: 94.2 (Std: 0.6), Avg # of Leaves: 4.8 (Std: 0.1)
+LCs: 2, Depth: 5 Avg Accuracy: 94.0 (Std: 0.7), Avg # of Leaves: 5.1 (Std: 0.2)
+LCs: 3, Depth: 1 Avg Accuracy: 58.8 (Std: 3.2), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 3, Depth: 2 Avg Accuracy: 94.7 (Std: 1.2), Avg # of Leaves: 3.1 (Std: 0.1)
+LCs: 3, Depth: 3 Avg Accuracy: 93.8 (Std: 1.1), Avg # of Leaves: 3.9 (Std: 0.2)
+LCs: 3, Depth: 4 Avg Accuracy: 93.7 (Std: 1.0), Avg # of Leaves: 4.1 (Std: 0.2)
+LCs: 3, Depth: 5 Avg Accuracy: 93.7 (Std: 1.0), Avg # of Leaves: 4.1 (Std: 0.2)
+LCs: 4, Depth: 1 Avg Accuracy: 57.4 (Std: 1.9), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 4, Depth: 2 Avg Accuracy: 94.9 (Std: 1.0), Avg # of Leaves: 3.2 (Std: 0.1)
+LCs: 4, Depth: 3 Avg Accuracy: 94.0 (Std: 1.3), Avg # of Leaves: 3.7 (Std: 0.1)
+LCs: 4, Depth: 4 Avg Accuracy: 94.0 (Std: 1.3), Avg # of Leaves: 3.7 (Std: 0.1)
+LCs: 4, Depth: 5 Avg Accuracy: 94.0 (Std: 1.3), Avg # of Leaves: 3.7 (Std: 0.1)
+
+information gain:
+LCs: 1, Depth: 1 Avg Accuracy: 61.1 (Std: 1.6), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 1, Depth: 2 Avg Accuracy: 94.2 (Std: 0.8), Avg # of Leaves: 3.0 (Std: 0.0)
+LCs: 1, Depth: 3 Avg Accuracy: 95.3 (Std: 0.8), Avg # of Leaves: 4.8 (Std: 0.1)
+LCs: 1, Depth: 4 Avg Accuracy: 94.1 (Std: 1.1), Avg # of Leaves: 6.8 (Std: 0.2)
+LCs: 1, Depth: 5 Avg Accuracy: 94.3 (Std: 1.3), Avg # of Leaves: 7.5 (Std: 0.2)
+LCs: 2, Depth: 1 Avg Accuracy: 60.8 (Std: 1.7), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 2, Depth: 2 Avg Accuracy: 93.7 (Std: 1.7), Avg # of Leaves: 3.0 (Std: 0.0)
+LCs: 2, Depth: 3 Avg Accuracy: 94.1 (Std: 1.5), Avg # of Leaves: 4.0 (Std: 0.1)
+LCs: 2, Depth: 4 Avg Accuracy: 94.0 (Std: 0.7), Avg # of Leaves: 4.8 (Std: 0.1)
+LCs: 2, Depth: 5 Avg Accuracy: 93.8 (Std: 0.9), Avg # of Leaves: 4.9 (Std: 0.2)
+LCs: 3, Depth: 1 Avg Accuracy: 59.6 (Std: 3.0), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 3, Depth: 2 Avg Accuracy: 94.7 (Std: 1.3), Avg # of Leaves: 3.1 (Std: 0.1)
+LCs: 3, Depth: 3 Avg Accuracy: 94.1 (Std: 1.1), Avg # of Leaves: 3.9 (Std: 0.1)
+LCs: 3, Depth: 4 Avg Accuracy: 93.7 (Std: 1.1), Avg # of Leaves: 4.1 (Std: 0.2)
+LCs: 3, Depth: 5 Avg Accuracy: 93.7 (Std: 1.1), Avg # of Leaves: 4.1 (Std: 0.2)
+LCs: 4, Depth: 1 Avg Accuracy: 58.5 (Std: 2.7), Avg # of Leaves: 2.0 (Std: 0.0)
+LCs: 4, Depth: 2 Avg Accuracy: 94.9 (Std: 1.0), Avg # of Leaves: 3.1 (Std: 0.1)
+LCs: 4, Depth: 3 Avg Accuracy: 94.1 (Std: 1.2), Avg # of Leaves: 3.7 (Std: 0.1)
+LCs: 4, Depth: 4 Avg Accuracy: 94.1 (Std: 1.2), Avg # of Leaves: 3.7 (Std: 0.1)
+LCs: 4, Depth: 5 Avg Accuracy: 94.1 (Std: 1.2), Avg # of Leaves: 3.7 (Std: 0.1)
