DEVELOPMENT... OpenML
Run
48369

Run 48369

Task 81 (Learning Curve) mfeat-zernike Uploaded 05-11-2014 by Jason
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  • curves weka weka_3.7.12-SNAPSHOT
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Flow

weka.RandomForest(2)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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
0.9672 ± 0.0042
Per class
Build CPU time
0.3244
Build memory
1112870734.3127
F measure
0.77 ± 0.0233
Per class
Kappa
0.7479 ± 0.0258
KB relative information score
0.7106 ± 0.0143
Mean absolute error
0.0781 ± 0.003
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7678 ± 0.0232
Per class
Predictive accuracy
0.7731 ± 0.0232
Prior entropy
3.3219
Recall
0.7731 ± 0.0232
Per class
Relative absolute error
0.434 ± 0.0164
Root mean prior squared error
0.3
Root mean squared error
0.1875 ± 0.0052
Root relative squared error
0.6249 ± 0.0174
SciMark benchmark
1627.4256