Supplementary thesis material

Table 1. Characteristics of the studied datasets. Some of the datasets were discretized using CAIM implemented in the Weka data mining software

Figures. Accumulated Pareto front of the datasets. Red circles - the accumulated Pareto front obtained by ten runs of MOPSO-BN. Purple circle - chosen solution after computing the Euclidean distance between every solution from the Pareto front and the origin. Blue star - the solution learned using Hill Climbing algorithm.

Fig. Australian

Fig. Chess

Fig. Cleve

Fig. CorrAl

Fig. crx

Fig. Flare

Fig. Diabetes

Fig. German

Fig. Glass2

Fig. Heart

Fig. Hepatitis

Fig. Lymphography

Fig. Mofn-3-7-10

Fig. Pima

Fig. Segment

Fig. Soybean-large

Fig. Tic-tac-toe

Fig. Vehicle

Fig. Vote

Fig. Waveform21

Fig. Bayesian networks structures generated by using Hill-Climbing (HC) and the chosen solution using our proposed algorithm MOPSO-BN.

Fig. Australian HC

Fig. AustralianMOPSO-BN

Fig. Chess HC

Fig. Chess MOPSO-BN

Fig Cleve Hc

Fig. Cleve MOPSO-BN

Fig. CorrAl HC

Fig. CorrAl MOPSO-BN

Fig. crx HC

Fig. crx MOPSO-BN

Fig. Flare HC

Fig. Flare MOPSO-BN

Fig. Diabetes Hc

Fig. Diabetes MOPSO-BN

Fig. German HC

Fig. German MOPSO-BN

Fig. Glass2 HC

Fig. Glass2 MOPSO-BN

Fig. Heart HC

Fig. Heart MOPSO-BN

Fig. Hepatitis HC

Fig. Hepatitis MOPSO-BN

Fig. Lymphography HC

Fig. Lymphography MOPSO-BN

Fig. mofn-3-7-10 HC

Fig. mofn-3-7-10 MOPSO-BN

Fig. Pima HC

Fig. Pima MOPSO-BN

Fig. Segment HC

Fig. Segment MOPSO-BN

Fig. SoyBean-large HC

Fig. SoyBean-large MOPSO-BN

Fig. Tic-tac-toe HC

Fig. Tic-tac-toe MOPSO-BN

Fig. Vehicle HC

Fig. Vehicle MOPSO-BN

Fig. Vote HC

Fig. Vote MOPSO-BN

Fig. Waveform21 HC

Fig. Waveform21 MOPSO-BN