PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

The selection, development, or comparison of machine learning methods in data mining can be a difficult task based on the target problem and goals of a particular study. Numerous publicly available real-world and simulated benchmark datasets have emerged from different sources, but their organization and adoption as standards have been inconsistent. As such, selecting and curating specific benchmarks remains an unnecessary burden on machine learning practitioners and data scientists. The present study introduces an accessible, curated, and developing public benchmark resource to facilitate identification of the strengths and weaknesses of different machine learning methodologies. We compare meta-features among the current set of benchmark datasets in this resource to characterize the diversity of available data. Finally, we apply a number of established machine learning methods to the entire benchmark suite and analyze how datasets and algorithms cluster in terms of performance. This work is an important first step towards understanding the limitations of popular benchmarking suites and developing a resource that connects existing benchmarking standards to more diverse and efficient standards in the future.Comment: 14 pages, 5 figures, submitted for review to JML

Parameters as Trait Indicators: Exploring a Complementary Neurocomputational Approach to Conceptualizing and Measuring Trait Differences in Emotional Intelligence

Current assessments of trait emotional intelligence (EI) rely on self-report inventories. While this approach has seen considerable success, a complementary approach allowing objective assessment of EI-relevant traits would provide some potential advantages. Among others, one potential advantage is that it would aid in emerging efforts to assess the brain basis of trait EI, where self-reported competency levels do not always match real-world behavior. In this paper, we review recent experimental paradigms in computational cognitive neuroscience (CCN), which allow behavioral estimates of individual differences in range of parameter values within computational models of neurocognitive processes. Based on this review, we illustrate how several of these parameters appear to correspond well to EI-relevant traits (i.e., differences in mood stability, stress vulnerability, self-control, and flexibility, among others). In contrast, although estimated objectively, these parameters do not correspond well to the optimal performance abilities assessed within competing "ability models" of EI. We suggest that adapting this approach from CCN-by treating parameter value estimates as objective trait EI measures-could (1) provide novel research directions, (2) aid in characterizing the neural basis of trait EI, and (3) offer a promising complementary assessment method.Open access journal.This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Autonomous orientation predicts longevity: New findings from the Nun Study

Objective. Work on longevity has found protective social, cognitive and emotional factors, but to date we have little understanding of the impact of motivational dynamics. Autonomy orientation, or stable patterns of self-regulation, is theorized to be a protective factor for longterm mental and physical health (Ryan & Deci, 2017), and is therefore a prime candidate for examining how stable psychosocial factors are linked to longevity, or life expectancy. Method. Essays written in the 1930s by participants in the Nun Study were coded for indicators of an autonomy orientation. These were selected in line with an extensive theoretical literature based in self-determination theory (Deci & Ryan, 1985). Essays were coded for the propensity for choice in action, susceptibility to pressure, self-reflection, integration of experiences, and parental support for autonomy. These coded variables were used to predict age of death. Results. Using 176 codeable essays provided by now deceased participants, linear regression analyses revealed that choiceful behavior, self-reflection, and parent autonomy support predicted age of death. Participants who demonstrated these stable and beneficial motivational characteristics lived longer. Conclusions. Personality constructs reflecting a healthy form of self-regulation are associated with long-term health. Implications for health interventions are discussed

The Impact of Autonomy Support on Identity Disclosure and Well-being among Sexual Minority Individuals

Much of the early research on sexual minority (SM) mental health emphasized theimportance of “coming out” or disclosing one’s sexual orientation in developing a positivesense of self. While some research indicates that disclosure is beneficial, other work hasfailed to find such well-being benefits. Drawing on self-determination theory (Ryan & Deci,2000) the present work addresses the inconsistency in this relation between coming out andwell-being. Study 1 indicates that negative reactions to disclosure exert a lasting impact onwell-being outcomes and that this influence was exerted via the thwarting of autonomy.Study 2 results suggest that perceiving autonomy support from one’s social contexts wasassociated with greater disclosure and well-being, especially among those with high levelsof internalized stigma. Study 3 indicates that recalling disclosure experiences impacts wellbeingin the short-term as well, with positive experiences associated with greater well-beingthan negative experiences. Cardiovascular results from Study 3 suggest that the relatingboth positive and negative coming out experiences is associated with increased bloodpressure. Taken together, results highlight the stress associated with disclosure and theimportance of supportive social relationships and environments in promoting disclosure andwell-being among SM individuals especially among high risk individuals. These findingssuggest that interventions designed to increase the provision of autonomy support may beparticularly effective in promoting well-being among SM individuals

Abusive Tax Shelters And Government Misconduct

Congress reacted quickly to the accounting profession’s involvement in the Enron/Tyco International financial collapses in 2001. The Sarbanes-Oxley Act of 2002 was enacted and the Securities and Exchange Commission promulgated new reporting regulations aimed at preventing such losses in the future. A more remote effect occurred a year later in 2003 when Congress enacted sweeping reforms affecting the tax shelter industry. Congress targeted accounting firms and related professionals who created, marketed and sold abusive tax shelters. While the culpability of these professionals was clear the resulting criminal prosecutions against some of the accounting professionals were tainted by an overzealous prosecution which relied on unconstitutional tactics to obtain convictions

Record of an alleged Solitary Eagle in Oaxaca is a Great Black Hawk

In a recent article in this journal (García-Grajales et al., 2018), an adult Great Black Hawk (Buteogallus urubitinga) was mistakenly identified as an adult of the Solitary Eagle (Buteogallus solitarius). The Solitary Eagle differs from the Greater Black Eagle in having the longest and widest wings, and the shortest tail. These characteristics give it a more triangular shape in flight. These differences are easy to see in Figures 1–3. The same authors also cite a case of the nesting of the Solitary Eagle in Mexico (Smith, 1982). However, after reviewing photos of the young, we consider that this record is probably the Common Black Hawk (B. anthracinus). The illustrations of the Solitary Eagle in field guides of Mexico and Central America (Howell & Webb, 1995; Van Perlo, 2006) demonstrate greater similarity with the Great Black Hawk, contributing to the frequent confusion of the two species if used without consulting the text. The new features published here and in Clark et al. (2006) and Clark and Schmitt (2017) should help with correct identification of Buteogallus species in the future.En un artículo reciente en esta revista (García-Grajales et al., 2018), un adulto del Aguililla Negra Mayor (Buteogallus urubitinga) fue identificado erróneamente como un adulto del Águila Solitaria (Buteogallus solitarius). El Águila Solitaria difiere del Aguililla Negra Mayor en tener las alas más largas y anchas, y la cola más corta. Estas características le confieren una forma más triangular en el vuelo. Estas diferencias son fáciles de apreciar en la Figuras 1–3. Los mismos autores también citan un caso del anidamiento del Águila Solitaria en México (Smith, 1982). Sin embargo, después de revisar fotos de las crías, consideramos que este registro probablemente se trata del Aguililla Negra Menor (B. anthracinus). Las ilustraciones del Águila Solitaria en guías de campo de México y Centroamérica (Howell & Webb, 1995; Van Perlo, 2006) demuestran mayor similitud con el Aguililla Negra Mayor, contribuyendo a la confusión frecuente de las dos especies si se utilizan sin consultar el texto. Las nuevas características publicadas aquí y en Clark et al. (2006) y Clark y Schmitt (2017) deben ayudar a su correcta identificación en el futuro

Ketogenic Diet Alters Dopaminergic Activity in the Mouse Cortex [post-print]

The present study was conducted to determine if the ketogenic diet altered basal levels of monoamineneurotransmitters in mice. The catecholamines dopamine (DA) and norephinephrine (NE) and the indolamine serotonin (5HT) were quantified postmortem in six different brain regions of adult mice fed a ketogenic diet for 3 weeks. The dopamine metabolites 3,4-dihydroxyphenylacetic acid (DOPAC) and homovanillic acid (HVA) and the serotonin metabolite 5-hydroxyindole acetic acid (5HIAA) were also measured. Tissue punches were collected bilaterally from the motor cortex, somatosensory cortex,nucleus accumbens, anterior caudate–putamen, posterior caudate–putamen and the midbrain. Dopaminergic activity, as measured by the dopamine metabolites to dopamine content ratio – ([DOPAC] + [HVA])/[DA] – was significantly increased in the motor and somatosensory cortex regions of mice fed the ketogenic diet when compared to those same areas in brains of mice fed a normal diet. These results indicate that the ketogenic diet alters the activity of the meso-cortical dopaminergic system, which may contribute to the diet\u27s therapeutic effect in reducing epileptic seizure activity