Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.3569  0.0020  0.1018  0.4932  0.2717  0.36
Anderszewski 2003   32  0.329  0.0035  0.0629  0.2558  0.0530  0.11
Ashkenazy 1981   41  0.3057  0.0055  0.0560  0.0561  0.0658  0.05
Bacha 2000   34  0.3260  0.0051  0.0554  0.0542  0.1538  0.09
Badura 1965   65  0.2561  0.0064  0.0469  0.0475  0.0382  0.03
Barbosa 1983   64  0.2577  0.0073  0.0379  0.0386  0.0288  0.02
Biret 1990   75  0.2214  0.0074  0.0371  0.0372  0.0483  0.03
Blet 2003   49  0.2820  0.0054  0.0555  0.0559  0.0466  0.04
Block 1995   45  0.3022  0.0039  0.0831  0.2471  0.0436  0.10
Blumental 1952   21  0.3439  0.0018  0.1120  0.4854  0.0621  0.17
Boshniakovich 1969   57  0.2658  0.0059  0.0557  0.0563  0.0557  0.05
Brailowsky 1960   12  0.3710  0.0015  0.1214  0.5423  0.508  0.52
Bunin 1987   53  0.2785  0.0058  0.0553  0.0570  0.0469  0.04
Bunin 1987b   54  0.2782  0.0057  0.0465  0.0474  0.0374  0.03
Chiu 1999   31  0.3259  0.0027  0.0528  0.2675  0.0434  0.10
Cohen 1997   33  0.3246  0.0022  0.1423  0.4329  0.4714  0.45
Cortot 1951   25  0.3331  0.0033  0.0640  0.1625  0.3418  0.23
Csalog 1996   50  0.2878  0.0034  0.0642  0.1549  0.0735  0.10
Czerny 1949   47  0.2834  0.0044  0.0743  0.1445  0.0832  0.11
Czerny 1990   52  0.2749  0.0049  0.0556  0.0561  0.0559  0.05
Duchoud 2007   84  0.1945  0.0071  0.0468  0.0464  0.0567  0.04
Ezaki 2006   5  0.4230  0.007  0.285  0.7118  0.555  0.62
Falvay 1989   15  0.3627  0.0023  0.1222  0.4449  0.0622  0.16
Farrell 1958   66  0.2524  0.0070  0.0463  0.0475  0.0373  0.03
Ferenczy 1958   14  0.3640  0.0013  0.1316  0.5021  0.627  0.56
Fliere 1977   10  0.3841  0.0010  0.149  0.6257  0.0519  0.18
Fou 1978   35  0.3112  0.0045  0.0646  0.0668  0.0450  0.05
Francois 1956   60  0.2679  0.0042  0.0638  0.1834  0.1920  0.18
Friedman 1923   71  0.2448  0.0067  0.0372  0.0351  0.0760  0.05
Friedman 1923b   70  0.2487  0.0068  0.0559  0.0548  0.0747  0.06
Friedman 1930   69  0.2451  0.0060  0.0647  0.0660  0.0555  0.05
Garcia 2007   81  0.2042  0.0075  0.0378  0.0373  0.0481  0.03
Garcia 2007b   87  0.1552  0.0083  0.0282  0.0283  0.0390  0.02
Gierzod 1998   7  0.4117  0.005  0.1911  0.5823  0.3911  0.48
Gornostaeva 1994   42  0.3080  0.0031  0.0627  0.2861  0.0527  0.12
Groot 1988   27  0.3270  0.0021  0.1519  0.4862  0.0425  0.14
Harasiewicz 1955   40  0.3013  0.0046  0.0551  0.0580  0.0470  0.04
Hatto 1993   23  0.3438  0.0030  0.0630  0.2570  0.0437  0.10
Hatto 1997   19  0.354  0.0024  0.0825  0.3373  0.0431  0.11
Horowitz 1949   72  0.2335  0.0069  0.0561  0.0551  0.0653  0.05
Indjic 1988   36  0.3129  0.0047  0.0552  0.0579  0.0465  0.04
Kapell 1951   74  0.2383  0.0081  0.0284  0.0280  0.0385  0.02
Kissin 1993   79  0.2162  0.0082  0.0285  0.0277  0.0478  0.03
Kushner 1989   24  0.3353  0.0028  0.0633  0.2366  0.0529  0.11
Luisada 1991   56  0.2665  0.0056  0.0464  0.0478  0.0461  0.04
Lushtak 2004   46  0.2968  0.0038  0.0634  0.2271  0.0440  0.09
Malcuzynski 1961   22  0.3444  0.0014  0.1121  0.4764  0.0524  0.15
Magaloff 1978   6  0.4147  0.009  0.246  0.6625  0.3412  0.47
Magin 1975   68  0.2481  0.0066  0.0374  0.0346  0.0749  0.05
Michalowski 1933   86  0.1684  0.0087  0.0376  0.0380  0.0377  0.03
Milkina 1970   51  0.2863  0.0053  0.0645  0.0673  0.0451  0.05
Mohovich 1999   11  0.3823  0.0011  0.217  0.6436  0.3113  0.45
Moravec 1969   8  0.4115  0.008  0.2410  0.6117  0.419  0.50
Morozova 2008   28  0.326  0.0029  0.0637  0.1875  0.0445  0.08
Neighaus 1950   30  0.3221  0.0025  0.0824  0.3860  0.0526  0.14
Niedzielski 1931   29  0.3225  0.0019  0.1117  0.5019  0.3816  0.44
Ohlsson 1999   55  0.2786  0.0061  0.0650  0.0649  0.0554  0.05
Osinska 1989   44  0.3076  0.0050  0.0558  0.0580  0.0362  0.04
Pachmann 1927   76  0.2271  0.0080  0.0287  0.0275  0.0476  0.03
Paderewski 1930   80  0.2090  0.0076  0.0470  0.0470  0.0464  0.04
Perlemuter 1992   82  0.2073  0.0072  0.0375  0.0376  0.0472  0.03
Pierdomenico 2008   78  0.2264  0.0085  0.0283  0.0283  0.0384  0.02
Poblocka 1999   67  0.2588  0.0052  0.0648  0.0674  0.0448  0.05
Rabcewiczowa 1932   9  0.408  0.006  0.278  0.6413  0.596  0.61
Rachmaninoff 1923   18  0.357  0.0012  0.1712  0.5628  0.3415  0.44
Rangell 2001   58  0.2632  0.0040  0.0644  0.1263  0.0446  0.07
Richter 1976   62  0.2550  0.0078  0.0466  0.0483  0.0375  0.03
Rosen 1989   13  0.3719  0.0017  0.1115  0.5251  0.0523  0.16
Rosenthal 1930   4  0.615  0.004  0.774  0.912  0.904  0.90
Rosenthal 1931   3  0.712  0.182  0.543  0.953  0.972  0.96
Rosenthal 1931b   1  0.761  0.661  0.651  0.973  0.971  0.97
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   2  0.713  0.123  0.902  0.953  0.973  0.96
Rossi 2007   85  0.1789  0.0077  0.0377  0.0349  0.0663  0.04
Rubinstein 1939   26  0.3328  0.0037  0.0735  0.2155  0.0439  0.09
Rubinstein 1952   39  0.3074  0.0026  0.0626  0.3267  0.0433  0.11
Rubinstein 1966   20  0.3554  0.0036  0.0732  0.2477  0.0344  0.08
Schilhawsky 1960   61  0.2572  0.0065  0.0373  0.0382  0.0379  0.03
Shebanova 2002   59  0.2666  0.0062  0.0462  0.0469  0.0656  0.05
Smith 1975   16  0.3611  0.0016  0.1613  0.5625  0.4110  0.48
Sokolov 2002   37  0.3026  0.0032  0.0636  0.2047  0.0628  0.11
Sztompka 1959   43  0.3036  0.0043  0.0741  0.1679  0.0442  0.08
Tomsic 1995   48  0.2843  0.0048  0.0649  0.0673  0.0452  0.05
Uninsky 1932   63  0.2537  0.0063  0.0467  0.0474  0.0380  0.03
Uninsky 1971   38  0.3033  0.0041  0.0539  0.1871  0.0443  0.08
Wasowski 1980   83  0.2055  0.0086  0.0380  0.0381  0.0471  0.03
Zak 1937   77  0.2218  0.0084  0.0286  0.0285  0.0386  0.02
Zak 1951   73  0.2316  0.0079  0.0281  0.0285  0.0387  0.02
Random 1   89  -0.0175  0.0088  0.0288  0.0218  0.4141  0.09
Random 2   88  0.0056  0.0089  0.0189  0.0158  0.0589  0.02
Random 3   90  -0.0267  0.0090  0.0190  0.0136  0.1868  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).