DEVELOPMENT... OpenML
Run
39057

Run 39057

Task 3654 (Supervised Classification) fri_c1_100_10 Uploaded 28-10-2014 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_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I40
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.8063
Per class
Build CPU time
0.2048
Build memory
1576951272.8
F measure
0.78
Per class
Kappa
0.5584
KB relative information score
56.7601
Mean absolute error
0.2148
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.78
Per class
Predictive accuracy
0.78
Prior entropy
0.9975
Recall
0.78
Per class
Relative absolute error
0.4311
Root mean prior squared error
0.4991
Root mean squared error
0.46
Root relative squared error
0.9216
SciMark benchmark
945.6653