OpenML
330941

Run 330941

Task 3563 (Supervised Classification) analcatdata_marketing Uploaded 26-03-2015 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
0.6723
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4861
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0935
Cross-validation details (10-fold Crossvalidation)
KB relative information score
51.0577
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2197
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2369
Cross-validation details (10-fold Crossvalidation)
Number of instances
362
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4683
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.558
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.6141
Cross-validation details (10-fold Crossvalidation)
Recall
0.558
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9272
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3434
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3293
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9592
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1280.9535
UserCPU time millis
90
UserCPU time millis testing
10
UserCPU time millis training
80