DEVELOPMENT... OpenML
Run
44032

Run 44032

Task 4368 (Supervised Classification) cholesterol 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
0.518
Per class
Build CPU time
1.3172
Build memory
125491912.3881
F measure
0.5099
Per class
Kappa
0.0085
KB relative information score
45.39
Mean absolute error
0.4859
Mean prior absolute error
0.4955
Number of instances
3030
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5088
Per class
Predictive accuracy
0.5129
Prior entropy
0.9935
Recall
0.5129
Per class
Relative absolute error
0.9807
Root mean prior squared error
0.4977
Root mean squared error
0.6805
Root relative squared error
1.3672
SciMark benchmark
897.921