DEVELOPMENT... OpenML
Run
44276

Run 44276

Task 3901 (Supervised Classification) jEdit_4.2_4.3 Uploaded 29-10-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I160
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.6968
Per class
Build CPU time
1.8405
Build memory
2770183308.4228
F measure
0.6527
Per class
Kappa
0.2968
KB relative information score
111.9401
Mean absolute error
0.3428
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6524
Per class
Predictive accuracy
0.6531
Prior entropy
0.992
Recall
0.6531
Per class
Relative absolute error
0.6934
Root mean prior squared error
0.4972
Root mean squared error
0.5699
Root relative squared error
1.1461
SciMark benchmark
941.2105