Run
61645

Run 61645

Task 1721 (Learning Curve) mfeat-zernike Uploaded 16-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_RandomForest(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1
weka.MultiBoostAB_RandomForest(2)_C3
weka.MultiBoostAB_RandomForest(2)_P100
weka.MultiBoostAB_RandomForest(2)_S1
weka.MultiBoostAB_RandomForest(2)_I10
weka.MultiBoostAB_RandomForest(2)_Wweka.classifiers.trees.RandomForest

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
0.9673 ± 0.0066
Per class
Build CPU time
0.3339
Build memory
2557969317.2364
F measure
0.7736 ± 0.0295
Per class
Kappa
0.7506 ± 0.0335
KB relative information score
0.7116 ± 0.0177
Mean absolute error
0.0781 ± 0.003
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7727 ± 0.0278
Per class
Predictive accuracy
0.7755 ± 0.0301
Prior entropy
3.3219
Recall
0.7755 ± 0.0301
Per class
Relative absolute error
0.4336 ± 0.0168
Root mean prior squared error
0.3
Root mean squared error
0.1871 ± 0.0064
Root relative squared error
0.6235 ± 0.0214
SciMark benchmark
1591.1714