Run
457342

Run 457342

Task 3053 (Supervised Classification) monks-problems-1 Uploaded 02-07-2015 by Joaquin Vanschoren
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Flow

weka.RandomForest(5)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(5)_I100
weka.RandomForest(5)_K0
weka.RandomForest(5)_S1
weka.RandomForest(5)_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.

22 Evaluation measures

Area under ROC curve
1
Per class
Cross-validation details (33% Holdout set)
F measure
1
Per class
Cross-validation details (33% Holdout set)
Kappa
1
Cross-validation details (33% Holdout set)
KB relative information score
146.4764
Cross-validation details (33% Holdout set)
Mean absolute error
0.1228
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.5
Cross-validation details (33% Holdout set)
Number of instances
183
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
1
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
1
Cross-validation details (33% Holdout set)
Prior entropy
1
Cross-validation details (33% Holdout set)
Recall
1
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2455
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.5
Cross-validation details (33% Holdout set)
Root mean squared error
0.1579
Cross-validation details (33% Holdout set)
Root relative squared error
0.3159
Cross-validation details (33% Holdout set)
SciMark benchmark
947.1781
UserCPU time millis
60
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
Cross-validation details (33% Holdout set)
UserCPU time millis training
50
Cross-validation details (33% Holdout set)