OpenML
320607

Run 320607

Task 4535 (Supervised Classification) cars 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
0.9711
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8998
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.787
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2006.3632
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2581
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4686
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
4060
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9005
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8995
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9544
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8995
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5507
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.484
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3122
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6451
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
942.9708
UserCPU time millis
50
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
50
Cross-validation details (10 times 10-fold Crossvalidation)