Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.3315  0.0054  0.0453  0.0479  0.0372  0.03
Anderszewski 2003   32  0.3742  0.0028  0.0828  0.1947  0.0429  0.09
Ashkenazy 1981   37  0.3643  0.0040  0.0540  0.1088  0.0259  0.04
Bacha 2000   30  0.3834  0.0057  0.0467  0.0476  0.0361  0.03
Badura 1965   72  0.2150  0.0063  0.0462  0.0482  0.0374  0.03
Barbosa 1983   78  0.1851  0.0081  0.0376  0.0384  0.0283  0.02
Biret 1990   51  0.3316  0.0059  0.0458  0.0472  0.0460  0.04
Blet 2003   70  0.2467  0.0074  0.0281  0.0287  0.0285  0.02
Block 1995   15  0.4452  0.0019  0.1022  0.2942  0.1011  0.17
Blumental 1952   77  0.1953  0.0070  0.0466  0.0483  0.0275  0.03
Boshniakovich 1969   33  0.3754  0.0029  0.0531  0.1677  0.0337  0.07
Brailowsky 1960   6  0.5668  0.005  0.196  0.556  0.515  0.53
Bunin 1987   24  0.4069  0.0038  0.0437  0.1373  0.0343  0.06
Bunin 1987b   23  0.4055  0.0037  0.0534  0.1472  0.0340  0.06
Chiu 1999   71  0.2244  0.0051  0.0455  0.0459  0.0452  0.04
Cohen 1997   40  0.3630  0.0025  0.0821  0.2913  0.417  0.34
Cortot 1951   58  0.3013  0.0069  0.0373  0.0366  0.0478  0.03
Csalog 1996   76  0.1970  0.0088  0.0289  0.0282  0.0284  0.02
Czerny 1949   55  0.3120  0.0033  0.0543  0.0869  0.0347  0.05
Czerny 1990   64  0.2871  0.0076  0.0280  0.0285  0.0390  0.02
Duchoud 2007   67  0.2635  0.0080  0.0377  0.0384  0.0373  0.03
Ezaki 2006   13  0.457  0.0017  0.0913  0.4047  0.0613  0.15
Falvay 1989   17  0.4336  0.0012  0.0918  0.3661  0.0419  0.12
Farrell 1958   35  0.369  0.0058  0.0547  0.0580  0.0354  0.04
Ferenczy 1958   60  0.298  0.0071  0.0378  0.0362  0.0471  0.03
Fliere 1977   29  0.3926  0.0035  0.0630  0.1882  0.0334  0.07
Fou 1978   14  0.4437  0.0013  0.089  0.4351  0.0612  0.16
Francois 1956   21  0.426  0.0022  0.1114  0.3859  0.0425  0.12
Friedman 1923   86  0.0972  0.0073  0.0370  0.0346  0.0749  0.05
Friedman 1923b   85  0.1073  0.0072  0.0279  0.0270  0.0476  0.03
Friedman 1930   80  0.1674  0.0055  0.0465  0.0479  0.0370  0.03
Garcia 2007   73  0.2024  0.0068  0.0375  0.0385  0.0288  0.02
Garcia 2007b   83  0.1438  0.0036  0.0542  0.0946  0.0538  0.07
Gierzod 1998   16  0.4456  0.0027  0.0724  0.2757  0.0522  0.12
Gornostaeva 1994   7  0.494  0.0014  0.0615  0.3852  0.0423  0.12
Groot 1988   10  0.4675  0.0011  0.148  0.4445  0.0514  0.15
Harasiewicz 1955   45  0.3357  0.0016  0.1117  0.3651  0.0424  0.12
Hatto 1993   75  0.1927  0.0077  0.0372  0.0377  0.0377  0.03
Hatto 1997   68  0.2521  0.0031  0.0439  0.1055  0.0536  0.07
Horowitz 1949   19  0.4376  0.0010  0.1012  0.4034  0.1610  0.25
Indjic 1988   74  0.1958  0.0078  0.0468  0.0479  0.0369  0.03
Kapell 1951   63  0.2845  0.0079  0.0371  0.0384  0.0281  0.02
Kissin 1993   31  0.3859  0.0042  0.0635  0.1477  0.0342  0.06
Kushner 1989   12  0.4577  0.0020  0.0923  0.2776  0.0328  0.09
Luisada 1991   36  0.3639  0.0053  0.0461  0.0470  0.0451  0.04
Lushtak 2004   62  0.2860  0.0032  0.0541  0.0976  0.0348  0.05
Malcuzynski 1961   8  0.4940  0.0015  0.0816  0.3870  0.0421  0.12
Magaloff 1978   5  0.5631  0.006  0.255  0.6031  0.206  0.35
Magin 1975   42  0.3578  0.0039  0.0436  0.1479  0.0339  0.06
Michalowski 1933   87  0.0679  0.0084  0.0374  0.0384  0.0368  0.03
Milkina 1970   11  0.4610  0.009  0.1010  0.4334  0.218  0.30
Mohovich 1999   20  0.4280  0.0021  0.0820  0.3447  0.0615  0.14
Moravec 1969   27  0.4022  0.0047  0.0452  0.0459  0.0450  0.04
Morozova 2008   48  0.3381  0.0026  0.0726  0.2678  0.0330  0.09
Neighaus 1950   25  0.4061  0.0030  0.0527  0.2279  0.0333  0.08
Niedzielski 1931   59  0.3041  0.0062  0.0463  0.0470  0.0365  0.03
Ohlsson 1999   52  0.3246  0.0066  0.0549  0.0578  0.0356  0.04
Osinska 1989   53  0.3247  0.0064  0.0645  0.0670  0.0444  0.05
Pachmann 1927   65  0.2762  0.0045  0.0546  0.0554  0.0545  0.05
Paderewski 1930   47  0.3363  0.0065  0.0459  0.0480  0.0367  0.03
Perlemuter 1992   56  0.3117  0.0050  0.0454  0.0476  0.0362  0.03
Pierdomenico 2008   50  0.3382  0.0034  0.0429  0.1861  0.0432  0.08
Poblocka 1999   61  0.2983  0.0082  0.0282  0.0284  0.0380  0.02
Rabcewiczowa 1932   66  0.2618  0.0048  0.0460  0.0464  0.0453  0.04
Rachmaninoff 1923   26  0.4032  0.0018  0.1111  0.4055  0.0417  0.13
Rangell 2001   9  0.4712  0.008  0.1119  0.3546  0.0616  0.14
Richter 1976   57  0.3028  0.0061  0.0369  0.0374  0.0366  0.03
Rosen 1989   18  0.4325  0.0024  0.0725  0.2756  0.0426  0.10
Rosenthal 1930   4  0.605  0.004  0.304  0.754  0.724  0.73
Rosenthal 1931   2  0.862  0.002  0.902  0.972  0.972  0.97
Rosenthal 1931b   1  0.931  0.971  0.961  0.992  0.991  0.99
Rosenthal 1931c   3  0.763  0.003  0.843  0.933  0.913  0.92
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   82  0.1514  0.0067  0.0451  0.0471  0.0364  0.03
Rubinstein 1939   49  0.3333  0.0023  0.0733  0.159  0.469  0.26
Rubinstein 1952   28  0.3923  0.0041  0.0532  0.1644  0.1118  0.13
Rubinstein 1966   39  0.3664  0.0049  0.0548  0.0553  0.0646  0.05
Schilhawsky 1960   44  0.3448  0.0046  0.0550  0.0565  0.0358  0.04
Shebanova 2002   69  0.2565  0.0075  0.0283  0.0280  0.0387  0.02
Smith 1975   22  0.4119  0.007  0.207  0.5079  0.0320  0.12
Sokolov 2002   41  0.3666  0.0060  0.0464  0.0475  0.0363  0.03
Sztompka 1959   79  0.1729  0.0083  0.0284  0.0286  0.0282  0.02
Tomsic 1995   38  0.3684  0.0044  0.0444  0.0864  0.0441  0.06
Uninsky 1932   81  0.1585  0.0085  0.0285  0.0285  0.0286  0.02
Uninsky 1971   54  0.3111  0.0056  0.0457  0.0458  0.0457  0.04
Wasowski 1980   84  0.1486  0.0089  0.0288  0.0284  0.0379  0.02
Zak 1937   43  0.3587  0.0052  0.0456  0.0474  0.0455  0.04
Zak 1951   34  0.3788  0.0043  0.0538  0.1169  0.0435  0.07
Random 1   88  0.0489  0.0087  0.0286  0.025  0.5027  0.10
Random 2   89  0.0490  0.0086  0.0287  0.025  0.4231  0.09
Random 3   90  -0.0349  0.0090  0.0190  0.0165  0.0389  0.02

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).