Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.3241  0.0012  0.1611  0.6125  0.4314  0.51
Anderszewski 2003   40  0.2352  0.0043  0.0743  0.1446  0.0741  0.10
Ashkenazy 1981   43  0.2365  0.0051  0.0552  0.0571  0.0556  0.05
Bacha 2000   32  0.2639  0.0033  0.0931  0.3743  0.1227  0.21
Badura 1965   67  0.1625  0.0058  0.0457  0.0465  0.0463  0.04
Barbosa 1983   76  0.1236  0.0085  0.0283  0.0281  0.0385  0.02
Biret 1990   87  0.0445  0.0086  0.0285  0.0276  0.0388  0.02
Blet 2003   66  0.1653  0.0073  0.0372  0.0368  0.0479  0.03
Block 1995   42  0.2386  0.0041  0.0641  0.1670  0.0445  0.08
Blumental 1952   57  0.1978  0.0040  0.0740  0.2057  0.0543  0.10
Boshniakovich 1969   69  0.1554  0.0052  0.0459  0.0470  0.0464  0.04
Brailowsky 1960   34  0.2619  0.0037  0.0737  0.2640  0.1925  0.22
Bunin 1987   71  0.1587  0.0074  0.0368  0.0370  0.0481  0.03
Bunin 1987b   70  0.1546  0.0070  0.0374  0.0375  0.0474  0.03
Chiu 1999   26  0.2979  0.0032  0.1136  0.2661  0.0638  0.12
Cohen 1997   7  0.404  0.036  0.277  0.695  0.697  0.69
Cortot 1951   5  0.4315  0.009  0.146  0.705  0.706  0.70
Csalog 1996   83  0.0888  0.0081  0.0373  0.0379  0.0378  0.03
Czerny 1949   25  0.2942  0.0022  0.0924  0.4716  0.7110  0.58
Czerny 1990   72  0.1458  0.0078  0.0277  0.0271  0.0387  0.02
Duchoud 2007   68  0.1680  0.0045  0.0646  0.0669  0.0455  0.05
Ezaki 2006   6  0.439  0.005  0.265  0.759  0.675  0.71
Falvay 1989   46  0.2240  0.0049  0.0647  0.0670  0.0358  0.04
Farrell 1958   55  0.2027  0.0065  0.0460  0.0465  0.0459  0.04
Ferenczy 1958   21  0.3259  0.0027  0.1426  0.4718  0.739  0.59
Fliere 1977   30  0.2721  0.0030  0.1128  0.4471  0.0436  0.13
Fou 1978   52  0.2155  0.0054  0.0465  0.0481  0.0372  0.03
Francois 1956   19  0.3232  0.008  0.2116  0.5421  0.5512  0.54
Friedman 1923   59  0.1947  0.0060  0.0458  0.0462  0.0657  0.05
Friedman 1923b   62  0.1772  0.0069  0.0367  0.0365  0.0665  0.04
Friedman 1930   60  0.1866  0.0062  0.0456  0.0462  0.0562  0.04
Garcia 2007   51  0.2112  0.0042  0.0642  0.1564  0.0544  0.09
Garcia 2007b   85  0.0689  0.0082  0.0284  0.0272  0.0482  0.03
Gierzod 1998   10  0.3616  0.007  0.2610  0.639  0.688  0.65
Gornostaeva 1994   28  0.2881  0.0034  0.0830  0.3938  0.2320  0.30
Groot 1988   41  0.2343  0.0029  0.1329  0.4364  0.0632  0.16
Harasiewicz 1955   48  0.2229  0.0056  0.0551  0.0577  0.0467  0.04
Hatto 1993   45  0.2333  0.0055  0.0462  0.0469  0.0566  0.04
Hatto 1997   36  0.2420  0.0048  0.0645  0.0653  0.0651  0.06
Horowitz 1949   74  0.1348  0.0075  0.0279  0.0273  0.0475  0.03
Indjic 1988   61  0.1756  0.0068  0.0278  0.0273  0.0477  0.03
Kapell 1951   86  0.0567  0.0090  0.0190  0.0181  0.0289  0.01
Kissin 1993   65  0.1660  0.0067  0.0369  0.0370  0.0561  0.04
Kushner 1989   35  0.2568  0.0044  0.0644  0.1280  0.0348  0.06
Luisada 1991   79  0.1161  0.0083  0.0187  0.0177  0.0483  0.02
Lushtak 2004   37  0.2457  0.0039  0.0839  0.2256  0.0542  0.10
Malcuzynski 1961   23  0.3130  0.0017  0.1417  0.5232  0.2119  0.33
Magaloff 1978   18  0.3369  0.0019  0.1318  0.5140  0.2318  0.34
Magin 1975   81  0.0973  0.0072  0.0281  0.0268  0.0471  0.03
Michalowski 1933   77  0.1282  0.0079  0.0370  0.0375  0.0476  0.03
Milkina 1970   64  0.1674  0.0053  0.0463  0.0447  0.0849  0.06
Mohovich 1999   12  0.348  0.0011  0.138  0.6618  0.4811  0.56
Moravec 1969   17  0.3375  0.0025  0.0823  0.4854  0.0433  0.14
Morozova 2008   14  0.335  0.0115  0.1425  0.4737  0.1521  0.27
Neighaus 1950   9  0.3810  0.0013  0.189  0.6550  0.0824  0.23
Niedzielski 1931   31  0.2635  0.0024  0.0927  0.4649  0.0729  0.18
Ohlsson 1999   38  0.2449  0.0047  0.0554  0.0570  0.0460  0.04
Osinska 1989   47  0.2276  0.0050  0.0549  0.0550  0.0652  0.05
Pachmann 1927   53  0.2131  0.0057  0.0555  0.0547  0.0750  0.06
Paderewski 1930   33  0.2683  0.0035  0.0532  0.3160  0.0634  0.14
Perlemuter 1992   56  0.2077  0.0038  0.0838  0.2565  0.0440  0.10
Pierdomenico 2008   58  0.1937  0.0063  0.0366  0.0364  0.0470  0.03
Poblocka 1999   82  0.0890  0.0077  0.0280  0.0278  0.0469  0.03
Rabcewiczowa 1932   15  0.3318  0.0018  0.1020  0.5023  0.5613  0.53
Rachmaninoff 1923   39  0.236  0.0123  0.0833  0.3040  0.1626  0.22
Rangell 2001   16  0.3313  0.0010  0.1313  0.5816  0.4216  0.49
Richter 1976   49  0.2270  0.0064  0.0461  0.0455  0.0653  0.05
Rosen 1989   8  0.3811  0.0014  0.1612  0.5937  0.2817  0.41
Rosenthal 1930   4  0.5123  0.004  0.384  0.822  0.824  0.82
Rosenthal 1931   2  0.702  0.152  0.702  0.953  0.961  0.95
Rosenthal 1931b   1  0.751  0.681  0.671  0.953  0.962  0.95
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   3  0.683  0.083  0.813  0.933  0.953  0.94
Rossi 2007   80  0.1034  0.0059  0.0648  0.0626  0.2637  0.12
Rubinstein 1939   29  0.2728  0.0031  0.1035  0.2734  0.1528  0.20
Rubinstein 1952   50  0.2222  0.0036  0.0734  0.3063  0.0439  0.11
Rubinstein 1966   11  0.3524  0.0021  0.1215  0.5557  0.0531  0.17
Schilhawsky 1960   84  0.0684  0.0089  0.0189  0.0183  0.0290  0.01
Shebanova 2002   63  0.1771  0.0071  0.0275  0.0267  0.0680  0.03
Smith 1975   24  0.2917  0.0016  0.1219  0.5016  0.5015  0.50
Sokolov 2002   44  0.2326  0.0046  0.0550  0.0544  0.0847  0.06
Sztompka 1959   13  0.3414  0.0020  0.1414  0.5646  0.1023  0.24
Tomsic 1995   27  0.287  0.0128  0.1721  0.4940  0.1222  0.24
Uninsky 1932   54  0.2038  0.0061  0.0553  0.0563  0.0554  0.05
Uninsky 1971   22  0.3162  0.0026  0.0922  0.4850  0.0730  0.18
Wasowski 1980   78  0.1150  0.0084  0.0282  0.0271  0.0568  0.03
Zak 1937   75  0.1263  0.0080  0.0371  0.0371  0.0473  0.03
Zak 1951   73  0.1464  0.0076  0.0276  0.0272  0.0384  0.02
Random 1   88  0.0385  0.0087  0.0286  0.0219  0.3246  0.08
Random 2   90  0.0044  0.0088  0.0188  0.0158  0.0586  0.02
Random 3   89  0.0151  0.0066  0.0464  0.0412  0.4635  0.14

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).