Run
76983

Run 76983

Task 270 (Supervised Classification) glass 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)_I40
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
0.9209
Per class
Cross-validation details (33% Holdout set)
Build CPU time
2.041
Cross-validation details (33% Holdout set)
Build memory
592439456
Cross-validation details (33% Holdout set)
F measure
0.7242
Per class
Cross-validation details (33% Holdout set)
Kappa
0.6241
Cross-validation details (33% Holdout set)
KB relative information score
40.7822
Cross-validation details (33% Holdout set)
Mean absolute error
0.1202
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2127
Cross-validation details (33% Holdout set)
Number of instances
70
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
0.7391
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7286
Cross-validation details (33% Holdout set)
Prior entropy
2.2315
Cross-validation details (33% Holdout set)
Recall
0.7286
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.5651
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3261
Cross-validation details (33% Holdout set)
Root mean squared error
0.2371
Cross-validation details (33% Holdout set)
Root relative squared error
0.7271
Cross-validation details (33% Holdout set)
SciMark benchmark
912.7662