Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.5034  0.0038  0.0640  0.1762  0.0439  0.08
Anderszewski 2003   41  0.4938  0.0021  0.0735  0.2150  0.0435  0.09
Ashkenazy 1981   51  0.4752  0.0052  0.0452  0.0464  0.0458  0.04
Bacha 2000   66  0.4048  0.0069  0.0380  0.0368  0.0461  0.03
Badura 1965   76  0.3657  0.0036  0.0641  0.1461  0.0444  0.07
Barbosa 1983   88  0.2084  0.0072  0.0368  0.0383  0.0371  0.03
Biret 1990   38  0.5085  0.0046  0.0456  0.0487  0.0380  0.03
Blet 2003   46  0.4840  0.0061  0.0454  0.0484  0.0372  0.03
Block 1995   77  0.3628  0.0065  0.0367  0.0386  0.0289  0.02
Blumental 1952   58  0.436  0.0126  0.0734  0.2261  0.0437  0.09
Boshniakovich 1969   42  0.4877  0.0049  0.0374  0.0387  0.0290  0.02
Brailowsky 1960   47  0.4858  0.0048  0.0372  0.0369  0.0462  0.03
Bunin 1987   63  0.4190  0.0074  0.0546  0.0569  0.0459  0.04
Bunin 1987b   64  0.4164  0.0073  0.0379  0.0370  0.0466  0.03
Chiu 1999   87  0.2126  0.0070  0.0382  0.0382  0.0363  0.03
Cohen 1997   79  0.3163  0.0063  0.0451  0.0426  0.2332  0.10
Cortot 1951   32  0.5250  0.0051  0.0549  0.0560  0.0550  0.05
Csalog 1996   48  0.4722  0.0066  0.0460  0.0450  0.0556  0.04
Czerny 1949   31  0.5353  0.0037  0.0729  0.2843  0.0818  0.15
Czerny 1990   14  0.6023  0.009  0.159  0.5655  0.0512  0.17
Duchoud 2007   56  0.4491  0.0055  0.0453  0.0477  0.0377  0.03
Ezaki 2006   23  0.5545  0.0014  0.1012  0.5052  0.0513  0.16
Falvay 1989   27  0.5515  0.0011  0.1014  0.4729  0.368  0.41
Farrell 1958   49  0.4716  0.0042  0.0542  0.1172  0.0442  0.07
Ferenczy 1958   59  0.4237  0.0075  0.0284  0.0270  0.0474  0.03
Fliere 1977   9  0.6455  0.0015  0.1211  0.5369  0.0322  0.13
Fou 1978   44  0.4824  0.0028  0.0726  0.3148  0.0621  0.14
Francois 1956   25  0.5559  0.0033  0.0824  0.3361  0.0429  0.11
Friedman 1923   86  0.2678  0.0080  0.0381  0.0354  0.0660  0.04
Friedman 1923b   85  0.2639  0.0079  0.0287  0.0254  0.0679  0.03
Friedman 1930   70  0.3971  0.0058  0.0455  0.0451  0.0557  0.04
Garcia 2007   73  0.3873  0.0078  0.0376  0.0380  0.0378  0.03
Garcia 2007b   84  0.2768  0.0084  0.0375  0.0383  0.0383  0.03
Gierzod 1998   10  0.6251  0.0022  0.0819  0.4255  0.0424  0.13
Gornostaeva 1994   6  0.6733  0.006  0.155  0.6718  0.396  0.51
Groot 1988   43  0.4869  0.0034  0.0638  0.1873  0.0345  0.07
Harasiewicz 1955   72  0.3879  0.0019  0.0831  0.2777  0.0338  0.09
Hatto 1993   83  0.2927  0.0086  0.0377  0.0378  0.0382  0.03
Hatto 1997   80  0.3129  0.0085  0.0283  0.0285  0.0387  0.02
Horowitz 1949   61  0.4260  0.0077  0.0378  0.0386  0.0285  0.02
Indjic 1988   81  0.3088  0.0087  0.0373  0.0382  0.0370  0.03
Kapell 1951   15  0.6031  0.0032  0.0630  0.2877  0.0426  0.11
Kissin 1993   18  0.579  0.0016  0.0817  0.4358  0.0517  0.15
Kushner 1989   11  0.6246  0.0023  0.0821  0.4068  0.0423  0.13
Luisada 1991   67  0.4081  0.0043  0.0444  0.0873  0.0446  0.06
Lushtak 2004   60  0.4235  0.0035  0.0632  0.2576  0.0336  0.09
Malcuzynski 1961   8  0.6519  0.0010  0.1518  0.4317  0.3310  0.38
Magaloff 1978   5  0.6911  0.005  0.247  0.6416  0.415  0.51
Magin 1975   22  0.558  0.0130  0.0628  0.3068  0.0334  0.09
Michalowski 1933   69  0.4021  0.0059  0.0462  0.0467  0.0555  0.04
Milkina 1970   12  0.6244  0.0024  0.1216  0.4555  0.0516  0.15
Mohovich 1999   24  0.5570  0.0027  0.0820  0.4086  0.0328  0.11
Moravec 1969   17  0.5918  0.0013  0.1113  0.4913  0.447  0.46
Morozova 2008   57  0.4320  0.0039  0.0739  0.1887  0.0247  0.06
Neighaus 1950   40  0.4972  0.0047  0.0370  0.0373  0.0481  0.03
Niedzielski 1931   35  0.5025  0.0054  0.0459  0.0483  0.0364  0.03
Ohlsson 1999   37  0.505  0.0145  0.0543  0.0954  0.0543  0.07
Osinska 1989   21  0.5662  0.0041  0.0936  0.2048  0.0530  0.10
Pachmann 1927   68  0.4082  0.0071  0.0371  0.0353  0.0554  0.04
Paderewski 1930   20  0.5665  0.0031  0.0637  0.1948  0.0531  0.10
Perlemuter 1992   55  0.4617  0.0029  0.1023  0.3564  0.0425  0.12
Pierdomenico 2008   71  0.3880  0.0081  0.0286  0.0282  0.0284  0.02
Poblocka 1999   28  0.5447  0.0056  0.0457  0.0464  0.0452  0.04
Rabcewiczowa 1932   30  0.5342  0.0018  0.0927  0.3146  0.0620  0.14
Rachmaninoff 1923   29  0.5413  0.0012  0.1210  0.5456  0.0415  0.15
Rangell 2001   34  0.5089  0.0044  0.0345  0.0785  0.0349  0.05
Richter 1976   74  0.3754  0.0076  0.0285  0.0276  0.0386  0.02
Rosen 1989   19  0.5661  0.0040  0.0633  0.2375  0.0340  0.08
Rosenthal 1930   3  0.872  0.203  0.464  0.901  0.894  0.89
Rosenthal 1931   1  0.871  0.551  0.543  0.923  0.942  0.93
Rosenthal 1931b   2  0.874  0.072  0.461  0.933  0.951  0.94
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   4  0.863  0.114  0.812  0.933  0.943  0.93
Rossi 2007   82  0.2912  0.0053  0.0548  0.0540  0.1533  0.09
Rubinstein 1939   65  0.4036  0.0068  0.0365  0.0337  0.1841  0.07
Rubinstein 1952   36  0.5014  0.0025  0.0722  0.3733  0.2611  0.31
Rubinstein 1966   50  0.4766  0.0060  0.0363  0.0372  0.0473  0.03
Schilhawsky 1960   26  0.557  0.0117  0.0825  0.3263  0.0427  0.11
Shebanova 2002   45  0.4849  0.0067  0.0364  0.0384  0.0376  0.03
Smith 1975   13  0.6210  0.008  0.278  0.6330  0.259  0.40
Sokolov 2002   16  0.6056  0.0020  0.0915  0.4757  0.0419  0.14
Sztompka 1959   33  0.5241  0.0050  0.0366  0.0375  0.0468  0.03
Tomsic 1995   52  0.4775  0.0062  0.0550  0.0567  0.0453  0.04
Uninsky 1932   78  0.3667  0.0083  0.0369  0.0376  0.0475  0.03
Uninsky 1971   62  0.4143  0.0082  0.0288  0.0277  0.0469  0.03
Wasowski 1980   75  0.3630  0.0088  0.0461  0.0454  0.0551  0.04
Zak 1937   53  0.4686  0.0064  0.0547  0.0588  0.0265  0.03
Zak 1951   54  0.4676  0.0057  0.0458  0.0482  0.0367  0.03
Average   7  0.6732  0.007  0.186  0.6772  0.0414  0.16
Random 1   91  -0.1074  0.0090  0.0190  0.0121  0.3648  0.06
Random 2   89  -0.0687  0.0089  0.0189  0.0158  0.0488  0.02
Random 3   90  -0.1083  0.0091  0.0191  0.0177  0.0291  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).