Run
53766

Run 53766

Task 1730 (Learning Curve) credit-g Uploaded 08-11-2014 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
0.7809 ± 0.0415
Per class
Build CPU time
0.0577
Build memory
231329594.4
F measure
0.7418 ± 0.0367
Per class
Kappa
0.3617 ± 0.0918
KB relative information score
0.189 ± 0.0316
Mean absolute error
0.3394 ± 0.0114
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7461 ± 0.0406
Per class
Predictive accuracy
0.76 ± 0.0327
Prior entropy
0.8813
Recall
0.76 ± 0.0327
Per class
Relative absolute error
0.8077 ± 0.0272
Root mean prior squared error
0.4583
Root mean squared error
0.4067 ± 0.0135
Root relative squared error
0.8876 ± 0.0294
SciMark benchmark
1678.1065