FIX: Fix error in report when sklearnex has more parameters than sklearn

[david-cortes-intel]

Description

Currently, when creating a report comparing sklearn vs. sklearnex, if some algorithm has more parameters in sklearnex than in sklearn (such as tree-based algorithms like ExtraTreesClassifier), an error will occur when trying to generate the excel report from the JSONs, due to being unable to find those sklearnex-specific columns in the data from sklearn.

This PR fixes the issue by dropping all parameter columns that are not present in data from all the compared libraries, but I am not sure that this wouldn't break some other use-case, so please give it a thorough review.

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[david-cortes-intel]

Looks like this PR doesn't work in all cases. Sometimes it leaves rows where there are times for both sklearn and sklearnex but no comparison metrics (e.g. time improvement) calculated for them.