Run
319794

Run 319794

Task 281 (Supervised Classification) trains Uploaded 24-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.6667
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4
Cross-validation details (33% Holdout set)
KB relative information score
0.6035
Cross-validation details (33% Holdout set)
Mean absolute error
0.4179
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.5
Cross-validation details (33% Holdout set)
Number of instances
3
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.8333
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6667
Cross-validation details (33% Holdout set)
Prior entropy
1
Cross-validation details (33% Holdout set)
Recall
0.6667
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8357
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.5
Cross-validation details (33% Holdout set)
Root mean squared error
0.4318
Cross-validation details (33% Holdout set)
Root relative squared error
0.8637
Cross-validation details (33% Holdout set)
SciMark benchmark
1322.7257
UserCPU time millis
Cross-validation details (33% Holdout set)
UserCPU time millis training
Cross-validation details (33% Holdout set)