Getting Started with Orange 06: Making Predictions

Making predictions with classification tree and logistic regression.

The data is no longer available. Follow the procedure with any classification datasets from the Datasets widget or a simple Iris dataset from the File widget.

License: GNU GPL + CC
Created by: Laboratory for Bioinformatics, Faculty of Computer and Information Science, University of Ljubljana

[gero]

Man, thats great. I am studying data science for 9 months. I wish I discovered this on the beginning.

[adversun]

With the current data-set, I am getting all 3 fruits with Classification tree and with Logistic regression. I think it's because this video is demonstrated with 39 data-sets but the actual data-set is 35.

[sanskarkhandelwal]

Explanation is crystal clear... well made

[milenageorgieva]

The data in the test data set is different. Check the second row, column vitamin C %. It should be 9 as in the video. Second, if you check the Tree, you will see that the training data is completely different from the training set provided by the link above. So, that's why you can't get correct fruit-vegetable-fruit prediction.

[HashCat]

perfect thank you so much, saved my wife PHD thesis

[alisterrebello]

2:23 what does it mean by giving the widget some classification model?

[pengenjadiilmuan]

Any widget with neural network for prediction?

[MarioDeCeglie]

I found other examples in the book "Data Science and Engineering - A learning path - Volume 2 Exploratory Data Analysis, Metrics, Models: with applications in the Orange Python-based environment". It could be useful to know.

[rayzek]

the software does not show me the approximation to the reality of the prediction (the blue and red bar). :(

[shaz-z]

Thanks, but I want to know how I can handle situations where the class is an imbalance?

[migoz]

Why do I get error: input contains nan infinity or a value too large for dtype('float64') in the prediction widget when trying my own dataset

[eylmaz]

is this system uses Apriori algorithm ? (association rule ) ? in assosication rules ?

[ganeshkamath]

With Orange 3.35, the data from Tree is not predicting the second row as a vegetable, but logistic regression is still classifying it correctly. I think there is some problem in the Tree classifier in the latest version.

[knalli]

I have the same issue with the dataset...

[migoz]

Does orange data mining support multi target predections ?

[danialali]

Thank you for this amazing work >> please tell me why with the current data-set, I am getting all 3 fruits with Classification tree (and like your result with Logistic regression).

[romank]

In Orange 3.32.0 Tree model returns 3 fruits for me, while Logistic Regression is same as yours.

[kushalsharan]

While joining Linear Regression and Test data to prediction, it says 'Yield not in domain' where yield is my target variable.

[AlexRM]

Hi! Hope you could update link to datasets that are actually broken.

[TheIdealife]

test dataset url is not working either