DEVELOPMENT... OpenML
Run
162085

Run 162085

Task 3722 (Supervised Classification) hungarian 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)_I10
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
0.8873
Per class
F measure
0.8076
Per class
Kappa
0.576
KB relative information score
166.2012
Mean absolute error
0.1949
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8116
Per class
Predictive accuracy
0.8129
Prior entropy
0.9439
Recall
0.8129
Per class
Relative absolute error
0.4225
Root mean prior squared error
0.4802
Root mean squared error
0.4196
Root relative squared error
0.8739
SciMark benchmark
938.4285
UserCPU time millis
10
UserCPU time millis training
10