DEVELOPMENT... OpenML
Run
36011

Run 36011

Task 4489 (Supervised Classification) analcatdata_seropositive 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)_I10
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
0.9754
Per class
Build CPU time
0.0105
Build memory
1795394119.5758
F measure
0.9484
Per class
Kappa
0.8861
KB relative information score
1158.3037
Mean absolute error
0.0535
Mean prior absolute error
0.4548
Number of instances
1320
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9483
Per class
Predictive accuracy
0.9485
Prior entropy
0.9347
Recall
0.9485
Per class
Relative absolute error
0.1177
Root mean prior squared error
0.4765
Root mean squared error
0.2019
Root relative squared error
0.4238
SciMark benchmark
941.5665