Rosenthal 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.4251  0.0022  0.1523  0.4624  0.4014  0.43
Anderszewski 2003   45  0.3470  0.0042  0.0542  0.1381  0.0343  0.06
Ashkenazy 1981   42  0.3542  0.0043  0.0543  0.1262  0.0344  0.06
Bacha 2000   48  0.3371  0.0046  0.0649  0.0656  0.0446  0.05
Badura 1965   69  0.2862  0.0064  0.0465  0.0478  0.0378  0.03
Barbosa 1983   29  0.3926  0.0035  0.0934  0.3066  0.0528  0.12
Biret 1990   16  0.4514  0.0119  0.1612  0.5749  0.0619  0.18
Blet 2003   34  0.3728  0.0031  0.0832  0.3558  0.0525  0.13
Block 1995   43  0.3478  0.0033  0.0729  0.3863  0.0429  0.12
Blumental 1952   8  0.5015  0.017  0.218  0.6826  0.477  0.57
Boshniakovich 1969   58  0.3059  0.0065  0.0374  0.0388  0.0288  0.02
Brailowsky 1960   5  0.587  0.016  0.455  0.807  0.696  0.74
Bunin 1987   67  0.2979  0.0069  0.0471  0.0483  0.0379  0.03
Bunin 1987b   70  0.2872  0.0063  0.0461  0.0480  0.0369  0.03
Chiu 1999   74  0.2680  0.0058  0.0552  0.0577  0.0353  0.04
Cohen 1997   75  0.2681  0.0045  0.0544  0.1072  0.0349  0.05
Cortot 1951   68  0.2836  0.0057  0.0551  0.0550  0.0745  0.06
Csalog 1996   39  0.3556  0.0038  0.0540  0.1664  0.0441  0.08
Czerny 1949   61  0.308  0.0167  0.0460  0.0478  0.0377  0.03
Czerny 1990   27  0.4021  0.0020  0.1719  0.5049  0.0718  0.19
Duchoud 2007   86  0.1782  0.0085  0.0287  0.0286  0.0286  0.02
Ezaki 2006   33  0.3747  0.0041  0.0641  0.1372  0.0442  0.07
Falvay 1989   36  0.3773  0.0049  0.0554  0.0570  0.0454  0.04
Farrell 1958   44  0.3448  0.0051  0.0458  0.0462  0.0555  0.04
Ferenczy 1958   20  0.4240  0.0024  0.0626  0.3958  0.0621  0.15
Fliere 1977   9  0.4925  0.0012  0.1716  0.5274  0.0422  0.14
Fou 1978   22  0.4223  0.0026  0.0827  0.3957  0.0523  0.14
Francois 1956   64  0.3057  0.0054  0.0459  0.0471  0.0464  0.04
Friedman 1923   66  0.2931  0.0050  0.0557  0.0551  0.0651  0.05
Friedman 1923b   59  0.3017  0.0047  0.0550  0.0555  0.0550  0.05
Friedman 1930   51  0.3263  0.0039  0.0637  0.2347  0.0726  0.13
Garcia 2007   85  0.1874  0.0086  0.0286  0.0287  0.0287  0.02
Garcia 2007b   72  0.2738  0.0062  0.0464  0.0482  0.0280  0.03
Gierzod 1998   14  0.4616  0.0023  0.1522  0.4773  0.0424  0.14
Gornostaeva 1994   47  0.3383  0.0056  0.0648  0.0675  0.0363  0.04
Groot 1988   11  0.4830  0.0010  0.159  0.6723  0.3011  0.45
Harasiewicz 1955   31  0.3865  0.0025  0.0630  0.3679  0.0339  0.10
Hatto 1993   17  0.4484  0.0021  0.1321  0.4880  0.0331  0.12
Hatto 1997   23  0.4285  0.0030  0.1325  0.4078  0.0335  0.11
Horowitz 1949   28  0.3929  0.0016  0.1415  0.557  0.558  0.55
Indjic 1988   25  0.4152  0.0029  0.0728  0.3981  0.0334  0.11
Kapell 1951   37  0.3686  0.0037  0.0638  0.2271  0.0440  0.09
Kissin 1993   80  0.2175  0.0083  0.0381  0.0387  0.0374  0.03
Kushner 1989   55  0.3176  0.0075  0.0468  0.0483  0.0368  0.03
Luisada 1991   35  0.3722  0.0044  0.0445  0.1082  0.0347  0.05
Lushtak 2004   32  0.3820  0.0027  0.0724  0.4183  0.0336  0.11
Malcuzynski 1961   46  0.3453  0.0053  0.0646  0.0677  0.0358  0.04
Magaloff 1978   10  0.4943  0.0013  0.2010  0.6535  0.2913  0.43
Magin 1975   19  0.4387  0.0032  0.0935  0.2972  0.0432  0.11
Michalowski 1933   83  0.1933  0.0059  0.0462  0.0469  0.0373  0.03
Milkina 1970   40  0.3566  0.0052  0.0556  0.0584  0.0357  0.04
Mohovich 1999   18  0.4337  0.0028  0.0731  0.3558  0.0430  0.12
Moravec 1969   12  0.4754  0.0011  0.2211  0.5928  0.3510  0.45
Morozova 2008   76  0.2432  0.0080  0.0373  0.0380  0.0375  0.03
Neighaus 1950   49  0.3234  0.0040  0.0639  0.2045  0.0927  0.13
Niedzielski 1931   41  0.3512  0.0114  0.1318  0.517  0.469  0.48
Ohlsson 1999   53  0.3258  0.0061  0.0469  0.0481  0.0372  0.03
Osinska 1989   54  0.3168  0.0070  0.0378  0.0380  0.0365  0.03
Pachmann 1927   78  0.2444  0.0078  0.0377  0.0361  0.0471  0.03
Paderewski 1930   88  0.1469  0.0087  0.0284  0.0274  0.0384  0.02
Perlemuter 1992   79  0.2164  0.0082  0.0380  0.0385  0.0281  0.02
Pierdomenico 2008   81  0.2188  0.0084  0.0285  0.0282  0.0382  0.02
Poblocka 1999   26  0.4119  0.0017  0.1514  0.5552  0.0917  0.22
Rabcewiczowa 1932   13  0.4611  0.019  0.1713  0.5625  0.3412  0.44
Rachmaninoff 1923   7  0.569  0.015  0.376  0.774  0.735  0.75
Rangell 2001   84  0.1910  0.0189  0.0188  0.0188  0.0291  0.01
Richter 1976   30  0.3913  0.0134  0.0833  0.3172  0.0337  0.10
Rosen 1989   50  0.3245  0.0048  0.0647  0.0682  0.0361  0.04
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   4  0.674  0.063  0.444  0.854  0.864  0.85
Rosenthal 1931b   1  0.711  0.431  0.421  0.874  0.902  0.88
Rosenthal 1931c   2  0.702  0.202  0.443  0.854  0.873  0.86
Rosenthal 1931d   3  0.693  0.154  0.682  0.874  0.901  0.88
Rossi 2007   87  0.1667  0.0088  0.0189  0.0186  0.0290  0.01
Rubinstein 1939   77  0.2489  0.0079  0.0379  0.0382  0.0367  0.03
Rubinstein 1952   65  0.2949  0.0072  0.0376  0.0385  0.0289  0.02
Rubinstein 1966   52  0.3241  0.0073  0.0375  0.0388  0.0285  0.02
Schilhawsky 1960   15  0.456  0.0115  0.1217  0.5234  0.2915  0.39
Shebanova 2002   73  0.2646  0.0066  0.0463  0.0481  0.0460  0.04
Smith 1975   24  0.4124  0.0018  0.1820  0.4942  0.2216  0.33
Sokolov 2002   56  0.3190  0.0060  0.0466  0.0467  0.0366  0.03
Sztompka 1959   63  0.3027  0.0055  0.0555  0.0577  0.0459  0.04
Tomsic 1995   82  0.2191  0.0081  0.0383  0.0385  0.0283  0.02
Uninsky 1932   71  0.2755  0.0074  0.0472  0.0480  0.0376  0.03
Uninsky 1971   38  0.3660  0.0036  0.0936  0.2877  0.0433  0.11
Wasowski 1980   62  0.3039  0.0068  0.0470  0.0482  0.0452  0.04
Zak 1937   60  0.3077  0.0076  0.0553  0.0580  0.0356  0.04
Zak 1951   57  0.3135  0.0071  0.0467  0.0480  0.0370  0.03
Average   6  0.565  0.028  0.247  0.7376  0.0420  0.17
Random 1   91  -0.0561  0.0090  0.0190  0.0127  0.3048  0.05
Random 2   89  0.0418  0.0077  0.0382  0.0321  0.3138  0.10
Random 3   90  -0.0150  0.0091  0.0191  0.0133  0.2062  0.04

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).