DEVELOPMENT... OpenML
Run
163325

Run 163325

Task 3524 (Supervised Classification) fbis.wc 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
0.6843
Per class
F measure
0.1988
Per class
Kappa
0.2033
KB relative information score
489.4777
Mean absolute error
0.0931
Mean prior absolute error
0.1047
Number of instances
2463
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1416
Per class
Predictive accuracy
0.3557
Prior entropy
3.5848
Recall
0.3557
Per class
Relative absolute error
0.8885
Root mean prior squared error
0.2288
Root mean squared error
0.2158
Root relative squared error
0.9431
SciMark benchmark
945.6434
UserCPU time millis
3020
UserCPU time millis training
3020