DEVELOPMENT... OpenML
Run
163653

Run 163653

Task 3849 (Supervised Classification) analcatdata_marketing Uploaded 16-02-2015 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_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I40
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.5248
Per class
F measure
0.5912
Per class
Kappa
0.0438
KB relative information score
62.2386
Mean absolute error
0.3431
Mean prior absolute error
0.4326
Number of instances
364
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6154
Per class
Predictive accuracy
0.6786
Prior entropy
0.901
Recall
0.6786
Per class
Relative absolute error
0.7931
Root mean prior squared error
0.4649
Root mean squared error
0.5266
Root relative squared error
1.1328
SciMark benchmark
942.1229
UserCPU time millis
30
UserCPU time millis training
30