Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.4879  0.0036  0.0536  0.1883  0.0343  0.07
Anderszewski 2003   43  0.4534  0.0045  0.0551  0.0552  0.0546  0.05
Ashkenazy 1981   68  0.3326  0.0062  0.0463  0.0481  0.0379  0.03
Bacha 2000   53  0.4116  0.0027  0.0534  0.1986  0.0332  0.08
Badura 1965   84  0.1935  0.0068  0.0471  0.0479  0.0377  0.03
Barbosa 1983   87  0.0946  0.0073  0.0472  0.0486  0.0269  0.03
Biret 1990   35  0.4947  0.0034  0.0530  0.2269  0.0431  0.09
Blet 2003   44  0.4451  0.0049  0.0552  0.0578  0.0352  0.04
Block 1995   86  0.1843  0.0082  0.0287  0.0286  0.0288  0.02
Blumental 1952   26  0.526  0.008  0.1312  0.4738  0.1114  0.23
Boshniakovich 1969   55  0.4082  0.0067  0.0379  0.0380  0.0378  0.03
Brailowsky 1960   42  0.4663  0.0029  0.0538  0.1652  0.0434  0.08
Bunin 1987   81  0.2322  0.0085  0.0382  0.0375  0.0380  0.03
Bunin 1987b   82  0.2211  0.0084  0.0384  0.0376  0.0363  0.03
Chiu 1999   85  0.1944  0.0066  0.0470  0.0472  0.0360  0.03
Cohen 1997   78  0.2610  0.0018  0.1124  0.2815  0.3512  0.31
Cortot 1951   41  0.4667  0.0064  0.0466  0.0456  0.0457  0.04
Csalog 1996   13  0.5839  0.0020  0.0718  0.3328  0.2713  0.30
Czerny 1949   39  0.4728  0.0046  0.0465  0.0460  0.0455  0.04
Czerny 1990   11  0.6152  0.009  0.1911  0.4747  0.0418  0.14
Duchoud 2007   70  0.3229  0.0051  0.0457  0.0488  0.0275  0.03
Ezaki 2006   46  0.4423  0.0025  0.0725  0.2670  0.0328  0.09
Falvay 1989   30  0.5083  0.0015  0.1317  0.3728  0.427  0.39
Farrell 1958   59  0.3825  0.0033  0.0526  0.2476  0.0425  0.10
Ferenczy 1958   65  0.3548  0.0074  0.0464  0.0478  0.0372  0.03
Fliere 1977   17  0.5668  0.0026  0.0720  0.3274  0.0422  0.11
Fou 1978   52  0.4115  0.0032  0.0537  0.1785  0.0339  0.07
Francois 1956   38  0.4769  0.0052  0.0458  0.0472  0.0458  0.04
Friedman 1923   74  0.2853  0.0080  0.0375  0.0381  0.0386  0.03
Friedman 1923b   73  0.2817  0.0079  0.0460  0.0479  0.0381  0.03
Friedman 1930   64  0.3557  0.0071  0.0474  0.0474  0.0371  0.03
Garcia 2007   40  0.4770  0.0048  0.0455  0.0469  0.0376  0.03
Garcia 2007b   45  0.4471  0.0059  0.0469  0.0487  0.0285  0.03
Gierzod 1998   14  0.5814  0.0023  0.0821  0.3176  0.0326  0.10
Gornostaeva 1994   8  0.638  0.0011  0.128  0.5130  0.2010  0.32
Groot 1988   72  0.2958  0.0072  0.0386  0.0384  0.0382  0.03
Harasiewicz 1955   71  0.3140  0.0060  0.0554  0.0585  0.0284  0.03
Hatto 1993   80  0.2559  0.0076  0.0467  0.0480  0.0383  0.03
Hatto 1997   75  0.2772  0.0077  0.0548  0.0582  0.0353  0.04
Horowitz 1949   77  0.2754  0.0086  0.0378  0.0378  0.0465  0.03
Indjic 1988   76  0.2736  0.0078  0.0549  0.0581  0.0351  0.04
Kapell 1951   6  0.6480  0.0019  0.0819  0.3254  0.0519  0.13
Kissin 1993   20  0.5537  0.0021  0.1023  0.3147  0.0521  0.12
Kushner 1989   16  0.5649  0.0037  0.0529  0.2377  0.0336  0.08
Luisada 1991   56  0.3955  0.0038  0.0535  0.1985  0.0333  0.08
Lushtak 2004   67  0.3384  0.0041  0.0539  0.1674  0.0344  0.07
Malcuzynski 1961   22  0.5438  0.0012  0.1331  0.2240  0.1415  0.18
Magaloff 1978   10  0.627  0.0014  0.1313  0.4622  0.299  0.37
Magin 1975   19  0.5550  0.0024  0.0722  0.3176  0.0324  0.10
Michalowski 1933   33  0.5020  0.0055  0.0547  0.0582  0.0350  0.04
Milkina 1970   9  0.6312  0.0013  0.1510  0.4747  0.0616  0.17
Mohovich 1999   28  0.5164  0.0030  0.0533  0.1973  0.0430  0.09
Moravec 1969   5  0.6619  0.005  0.316  0.549  0.545  0.54
Morozova 2008   62  0.3745  0.0056  0.0459  0.0487  0.0270  0.03
Neighaus 1950   63  0.3656  0.0070  0.0380  0.0386  0.0289  0.02
Niedzielski 1931   21  0.5441  0.0022  0.1015  0.3868  0.0323  0.11
Ohlsson 1999   51  0.4227  0.0054  0.0456  0.0485  0.0367  0.03
Osinska 1989   23  0.5330  0.0039  0.0532  0.1967  0.0429  0.09
Pachmann 1927   37  0.4785  0.0058  0.0461  0.0449  0.0548  0.04
Paderewski 1930   27  0.5260  0.0043  0.0640  0.1582  0.0340  0.07
Perlemuter 1992   58  0.3873  0.0042  0.0641  0.1458  0.0437  0.07
Pierdomenico 2008   79  0.2686  0.0083  0.0383  0.0382  0.0361  0.03
Poblocka 1999   34  0.5032  0.0047  0.0468  0.0480  0.0359  0.03
Rabcewiczowa 1932   7  0.649  0.006  0.195  0.5416  0.316  0.41
Rachmaninoff 1923   15  0.575  0.0110  0.157  0.5372  0.0417  0.15
Rangell 2001   48  0.4361  0.0063  0.0553  0.0576  0.0356  0.04
Richter 1976   83  0.2187  0.0087  0.0376  0.0377  0.0366  0.03
Rosen 1989   18  0.5688  0.0035  0.0528  0.2366  0.0427  0.10
Rosenthal 1930   4  0.884  0.024  0.694  0.861  0.864  0.86
Rosenthal 1931   2  0.952  0.242  0.593  0.933  0.952  0.94
Rosenthal 1931b   1  0.951  0.471  0.471  0.953  0.951  0.95
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   3  0.943  0.223  0.852  0.943  0.953  0.94
Rossi 2007   60  0.3781  0.0044  0.0643  0.1152  0.0635  0.08
Rubinstein 1939   31  0.5065  0.0017  0.1416  0.3826  0.2511  0.31
Rubinstein 1952   24  0.5374  0.007  0.1214  0.4330  0.368  0.39
Rubinstein 1966   50  0.4275  0.0040  0.0442  0.1369  0.0441  0.07
Schilhawsky 1960   47  0.4413  0.0028  0.0544  0.1172  0.0442  0.07
Shebanova 2002   29  0.5131  0.0053  0.0546  0.0585  0.0354  0.04
Smith 1975   12  0.5876  0.0016  0.179  0.5076  0.0320  0.12
Sokolov 2002   25  0.5318  0.0031  0.0527  0.2385  0.0238  0.07
Sztompka 1959   32  0.5033  0.0050  0.0545  0.0583  0.0349  0.04
Tomsic 1995   61  0.3766  0.0069  0.0381  0.0373  0.0464  0.03
Uninsky 1932   57  0.3924  0.0065  0.0473  0.0478  0.0373  0.03
Uninsky 1971   66  0.3489  0.0081  0.0385  0.0372  0.0468  0.03
Wasowski 1980   69  0.3262  0.0075  0.0377  0.0387  0.0287  0.02
Zak 1937   49  0.4277  0.0057  0.0462  0.0480  0.0362  0.03
Zak 1951   54  0.4021  0.0061  0.0550  0.0579  0.0347  0.04
Random 1   89  -0.1978  0.0088  0.0289  0.0224  0.2345  0.07
Random 2   88  -0.1390  0.0089  0.0288  0.0251  0.0474  0.03
Random 3   90  -0.2942  0.0090  0.0190  0.0188  0.0290  0.01

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).