DEVELOPMENT... OpenML
Run
163525

Run 163525

Task 3708 (Supervised Classification) house_8L Uploaded 16-02-2015 by Felicia West
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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
0.9167
Per class
F measure
0.8574
Per class
Kappa
0.6529
KB relative information score
14313.2248
Mean absolute error
0.1453
Mean prior absolute error
0.4168
Number of instances
22784
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8571
Per class
Predictive accuracy
0.8599
Prior entropy
0.8764
Recall
0.8599
Per class
Relative absolute error
0.3486
Root mean prior squared error
0.4565
Root mean squared error
0.3458
Root relative squared error
0.7575
SciMark benchmark
942.1229
UserCPU time millis
3260
UserCPU time millis testing
50
UserCPU time millis training
3210