I have mixed data features (3 continuous, 2 binomial, and 3 ordinal categorial) and the binomial (1,0) target. I have label-encoded the ordinal categorical features (e.g. instead of very low/low/medium/high/very high there are 1,2,3,4,5 in a column). So it is a binomial classification problem. I have the following code: #Initialize a tree (Decision Tree with ..
Category : classification
I am very new to anything Machine Learning related and have following problem to solve: I created 10 different sets that consist of multiple plots (approx. 10 each), these are my dataset. The difference of these plots is the boundary condition of lab experiments. I now want my program to automatically assign a plot input ..
I have to discretize into at least 5 bins a continuous target variable in order to lower the complexity of a classification model using the sklearn library In order to do this, I’ve used the KBinsDiscretizer but I don’t know how can I split in balanced parts the dataset now that I’ve discretized the target ..
I have a question on the parameters of the mutual_info_classif function as a feature selection method. https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html#sklearn.feature_selection.mutual_info_classif I have a binomial target Y which takes values (0,1) and X-features of mixed type. The features are binomial (0,1), continuous and categorial. Within categorial, I have ordinal features (e.g. low, medium, high encoded as 1,2,3) and non-ordinal(e.g. ..
I need an classification algorithm to identify patterns based on strings in Name Column such as Patterns with "XY","F","M" in in my dataframe. dataframe- Name Tag Type Subset XY-01 XZY-001 A ABC XY-01 XZY-002 B ABC M-11 Y-011 A ABC M-11 Y-012 B ABC M-11 Y-013 C ABC XY-13 XZY-051 A ABC XY-14 XZY-071 A ..
I am looking for some robust classification/clustering models, e.g. decision trees, that would utilise hierarchical information present in the dataset. The dataset consists of unique rows (customer ID’s) and purchased products (columns). The columns are 3-level and hierarchical, with hierarchy being – class – product – product type. Example being -> ‘Bedroom’ (class) – ‘Beds’ ..
How can I classify projects into one of several categories based on their titles and/or descriptions. I have a list of several projects with titles and descriptions, and each one can be classed as one of several categories depending on the keywords within those categories. So for example, in the first image, the first project ..
A seen below, i am trying to call out column on Daily Consumption and Month yet i have this error on iloc usage. Please help. enter image description here Source: Python..
I created a logistic regression model to predict customer subscription churn based on my company’s subscription data. For the most if, not all instances, the training data and the data overall consists of instances where people either: a. don’t churn and remain subscribers (0) or b. they churn and cancel their subscription (1). There are ..
so I have these dataset which from September till December week 1 till week 6… Monday till Sunday I want to display the dataset by scatter plot. Where the x axis= Monday – Sunday, y axis=week1-week6 and the content of the plot is SUMBEI_CLEANED that have been classify to label1-label6… is it possible? if possible ..
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