DEVELOPMENT... OpenML
Run
37449

Run 37449

Task 4446 (Supervised Classification) fri_c2_250_50 Uploaded 28-10-2014 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)_I20
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
0.8958
Per class
Build CPU time
1.0912
Build memory
418602078.08
F measure
0.8495
Per class
Kappa
0.6956
KB relative information score
1740.3738
Mean absolute error
0.15
Mean prior absolute error
0.4954
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8503
Per class
Predictive accuracy
0.85
Prior entropy
0.9934
Recall
0.85
Per class
Relative absolute error
0.3028
Root mean prior squared error
0.4977
Root mean squared error
0.3776
Root relative squared error
0.7588
SciMark benchmark
938.4414