Run
78072

Run 78072

Task 257 (Supervised Classification) colic 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)_I160
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
0.8606
Per class
Cross-validation details (33% Holdout set)
Build CPU time
21.866
Cross-validation details (33% Holdout set)
Build memory
1225653336
Cross-validation details (33% Holdout set)
F measure
0.8082
Per class
Cross-validation details (33% Holdout set)
Kappa
0.6126
Cross-validation details (33% Holdout set)
KB relative information score
53.4254
Cross-validation details (33% Holdout set)
Mean absolute error
0.3079
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4882
Cross-validation details (33% Holdout set)
Number of instances
121
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
0.8122
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8099
Cross-validation details (33% Holdout set)
Prior entropy
0.9509
Cross-validation details (33% Holdout set)
Recall
0.8099
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6307
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.505
Cross-validation details (33% Holdout set)
Root mean squared error
0.3853
Cross-validation details (33% Holdout set)
Root relative squared error
0.7629
Cross-validation details (33% Holdout set)
SciMark benchmark
910.0739