Decision tree to predict liver tumors in case of multi-compounds.

<p>The tree was learned using the C4.5 algorithm. It predicts liver tumors (LT) with information about the animal (SP = species, SE = sex), and an indicator for liver toxicity extracted from the dose finding study (DL = dose level).</p

Confusion matrices for the C4.5 algorithm.

<p>SET1 denotes the setting in which all animals were employed. SET2 denotes the setting in which only animals exposed to multi-compounds were employed. SET3 denotes the setting in which only mice exposed to multi-compounds were employed. The confusion matrices were computed using a stratified 10-fold cross-validation. Every confusion matrix shows the number of true positives and false negatives in the first row, and the number of false positives and true negatives in the second row.</p><p>Confusion matrices for the C4.5 algorithm.</p

Decision tree to predict liver tumors.

<p>The tree was learned using the C4.5 algorithm. It predicts liver tumors (LT) with information about the animal (SP = species, SE = sex), specifications on the 2Y-CS (SU = substance), and an indicator for liver toxicity extracted from the dose finding study (DL = dose level). </p

Performance measures for the AdaBoost-DS, PART, and Random Forest algorithms.

<p>SET1 denotes the setting in which all animals were employed. SET2 denotes the setting in which only animals exposed to multi-compounds were employed. SET3 denotes the setting in which only mice exposed to multi-compounds were employed. The performance measurements were estimated using a stratified 10-fold cross-validation.</p><p>Performance measures for the AdaBoost-DS, PART, and Random Forest algorithms.</p

List of 2Y-CSs on multi-compounds that were included in the analysis.

<p>The left column shows the name of all Technical Reports (TR) that were included in the analysis. The middle column shows the Chemical Abstracts Service Registry Number (CASRN) of the test substance, as termed in the CarTox database. The right column shows the name of the test substance, as termed in the CarTox database.</p><p>List of 2Y-CSs on multi-compounds that were included in the analysis.</p

Reasons for removal of an animal from a 2Y-CS.

<p>The left column shows all different reasons for the removal of an animal from a 2Y-CS, as termed in the CarTox database. The right column shows which animals were included in the analysis. (The distinction was provided by toxicological experts.)</p><p>Reasons for removal of an animal from a 2Y-CS.</p

List of 2Y-CSs on mixtures that were included in the analysis.

<p>The left column shows the name of all Technical Reports (TR) that were included in the analysis. The middle column shows the Chemical Abstracts Service Registry Number (CASRN) of the test substance, as termed in the CarTox database. The right column shows the name of the test substance, as termed in the CarTox database.</p><p>List of 2Y-CSs on mixtures that were included in the analysis.</p

List of 2Y-CSs on single substances that were included in the analysis.

<p>The left column shows the name of all Technical Reports (TR) that were included in the analysis. The middle column shows the Chemical Abstracts Service Registry Number (CASRN) of the test substance, as termed in the CarTox database. The right column shows the name of the test substance, as termed in the CarTox database.</p><p>List of 2Y-CSs on single substances that were included in the analysis.</p

Distinction between primary and non-primary liver tumors.

<p>The left column shows all different neoplastic diagnoses, as termed in the CarTox database. The right column shows the distinction between primary and non-primary liver tumors (which was provided by toxicological experts).</p><p>Distinction between primary and non-primary liver tumors.</p

Mean classification rates (in percent) of the five subsystems (BASE, REST, HOUSE, WALK, BICYCLE).

<p>Best results are printed bold.</p