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Uncertainty in Multiclass Classification

Dr. Rishabh Pathak
1. What is Uncertainty in Classification? Uncertainty refers to the model’s confidence or doubt in its predictions. Quantifying uncertainty is important to understand how reliable each prediction is. In multiclass classification , uncertainty estimates provide probabilities over multiple classes, reflecting how sure the model is about each possible class. 2. Methods to Estimate Uncertainty in Multiclass Classification Most multiclass classifiers provide methods such as: predict_proba: Returns a probability distribution across all classes. decision_function: Returns scores or margins for each class (sometimes called raw or uncalibrated confidence scores). The probability distribution from predict_proba captures the uncertainty by assigning a probability to each class. 3. Shape and Interpretation of predict_proba in Multiclass Output shape: (n_samples, n_classes) Each row corresponds to the probabilities of ...
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Experimental Hypothesis Research

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Dr. Rishabh Pathak

Experimental hypothesis research, also known as hypothesis-testing research, involves conducting studies to test specific predictions or relationships between variables using scientific methods. Here are key points to understand about experimental hypothesis research:


1.    Definition:

o    Experimental hypothesis research focuses on empirically testing predicted relationships between variables through controlled experiments or observational studies. It aims to investigate causal relationships, effects of interventions, or the impact of independent variables on dependent variables.

2.    Characteristics:

o    In experimental hypothesis research, researchers formulate specific research hypotheses that predict the expected outcomes or effects of manipulating an independent variable on a dependent variable. These hypotheses guide the design, implementation, and analysis of the study to determine the validity of the proposed relationships.

3.    Design:

o Experimental hypothesis research typically involves the manipulation of one or more independent variables to observe their effects on the dependent variable(s). Researchers control for extraneous variables, randomize participants or conditions, and use experimental designs to establish causal relationships between variables.

4.    Objectives:

o    The primary objectives of experimental hypothesis research include:

§  Testing specific predictions or hypotheses about the relationships between variables.

§  Establishing causal links between the independent and dependent variables.

§  Evaluating the effects of interventions, treatments, or experimental manipulations on outcomes.

§  Generating empirical evidence to support or refute theoretical propositions in the field of study.

5.    Types:

o    Experimental hypothesis research can be categorized into two main types based on the manipulation of the independent variable:

§  Experimental Design: Involves manipulating the independent variable(s) to observe the effects on the dependent variable(s) under controlled conditions.

§  Non-Experimental Design: Investigates relationships between variables without manipulating the independent variable(s).

6.    Validity:

o    Ensuring the internal validity of experimental hypothesis research is crucial to establishing the causal relationships between variables. Researchers must control for confounding variables, randomize participants, and use appropriate research designs to minimize bias and draw accurate conclusions from the study results.

7.    Analysis:

o    Data collected in experimental hypothesis research are analyzed using statistical techniques to test the research hypotheses, determine the significance of the relationships between variables, and draw conclusions based on the empirical evidence. Statistical tests help researchers assess the strength and direction of the effects observed in the study.

8.    Contribution:

o    Experimental hypothesis research contributes to the advancement of scientific knowledge by providing empirical support for theoretical propositions, validating hypotheses, and generating new insights into the relationships between variables. By conducting rigorous experiments and testing specific predictions, researchers can enhance understanding in their respective fields of study.

By conducting experimental hypothesis research, researchers can systematically investigate causal relationships, test specific predictions, and contribute to the evidence base in their fields through empirical validation of research hypotheses.

 

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