ECFP with SVM

Having good fun with clustering analysis, gonna move to doing some machine learning.

Again, so simple to do so with KNIME.

f:id:hateknime:20190419215716p:plain

File Reader: Reads csv

Column Filter: Remove unnecessary columns

RDKit Fingerpring: Rocks!

Expand Bit Vector: Do I need to do this? I dunno

k-Means: was there from last blog post, didn't need this time

SVM Learner: SVM Learns... (Used default)

SVM Predictor: SVM Predicts...

Scorer: Scores...

 

Nice neatly aligned hey? coz I used this!

f:id:hateknime:20190419215722p:plain

Auto Lay-Out!!! I didn't know this till today, just one click and kindly aligns for you. Why didn't I know this... But does cause a problem with big workflows so probaly only with simple ones for now, there should be "Fix In This Position" option for nodes too (maybe there is one already...).

 

Anyway, took a bit of time to learn but it's SVM, it's magical, it's strong, it will give a great result!!!!

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Haa? what is this...

Would a parameter tuning work? I don't know... I think I'm not doing anything wrong.  I have to see this. Maybe Random Forest next? (So added Baysian Paramter Optimization post. Works so much better now)

 

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