Run
75698

Run 75698

Task 245 (Supervised Classification) breast-w Uploaded 01-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9802
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.962
Cross-validation details (33% Holdout set)
Build memory
2779222696
Cross-validation details (33% Holdout set)
F measure
0.9523
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9009
Cross-validation details (33% Holdout set)
KB relative information score
205.6941
Cross-validation details (33% Holdout set)
Mean absolute error
0.079
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.469
Cross-validation details (33% Holdout set)
Number of instances
230
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9527
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9522
Cross-validation details (33% Holdout set)
Prior entropy
0.9297
Cross-validation details (33% Holdout set)
Recall
0.9522
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1685
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.493
Cross-validation details (33% Holdout set)
Root mean squared error
0.1883
Cross-validation details (33% Holdout set)
Root relative squared error
0.382
Cross-validation details (33% Holdout set)
SciMark benchmark
947.2295