DEVELOPMENT... OpenML
Run
163871

Run 163871

Task 55 (Supervised Classification) vote 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)_I80
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
0.9854
Per class
F measure
0.9633
Per class
Kappa
0.9228
KB relative information score
399.1534
Mean absolute error
0.0384
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9635
Per class
Predictive accuracy
0.9632
Prior entropy
0.9627
Recall
0.9632
Per class
Relative absolute error
0.081
Root mean prior squared error
0.4869
Root mean squared error
0.187
Root relative squared error
0.384
SciMark benchmark
936.6206
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40