Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.3241  0.0013  0.1612  0.6126  0.4314  0.51
Anderszewski 2003   41  0.2353  0.0044  0.0644  0.1447  0.0742  0.10
Ashkenazy 1981   44  0.2366  0.0052  0.0553  0.0572  0.0557  0.05
Bacha 2000   33  0.2638  0.0034  0.0932  0.3744  0.1227  0.21
Badura 1965   68  0.1625  0.0059  0.0458  0.0466  0.0464  0.04
Barbosa 1983   77  0.1242  0.0086  0.0284  0.0282  0.0386  0.02
Biret 1990   88  0.0446  0.0087  0.0286  0.0277  0.0389  0.02
Blet 2003   67  0.1654  0.0074  0.0373  0.0369  0.0480  0.03
Block 1995   43  0.2387  0.0042  0.0642  0.1671  0.0446  0.08
Blumental 1952   58  0.1977  0.0041  0.0741  0.2058  0.0544  0.10
Boshniakovich 1969   70  0.1555  0.0053  0.0460  0.0471  0.0465  0.04
Brailowsky 1960   35  0.2620  0.0038  0.0738  0.2641  0.1925  0.22
Bunin 1987   72  0.1588  0.0075  0.0369  0.0371  0.0482  0.03
Bunin 1987b   71  0.1547  0.0071  0.0375  0.0376  0.0475  0.03
Chiu 1999   27  0.2978  0.0033  0.1137  0.2662  0.0639  0.12
Cohen 1997   8  0.404  0.037  0.278  0.695  0.697  0.69
Cortot 1951   6  0.4316  0.0010  0.147  0.706  0.706  0.70
Csalog 1996   84  0.0889  0.0082  0.0374  0.0380  0.0379  0.03
Czerny 1949   26  0.2943  0.0023  0.0925  0.4716  0.7110  0.58
Czerny 1990   73  0.1459  0.0079  0.0278  0.0272  0.0388  0.02
Duchoud 2007   69  0.1679  0.0046  0.0647  0.0670  0.0456  0.05
Ezaki 2006   7  0.439  0.006  0.256  0.7510  0.675  0.71
Falvay 1989   47  0.2239  0.0050  0.0648  0.0671  0.0359  0.04
Farrell 1958   56  0.2027  0.0066  0.0461  0.0466  0.0460  0.04
Ferenczy 1958   22  0.3260  0.0028  0.1327  0.4718  0.739  0.59
Fliere 1977   31  0.2733  0.0031  0.1129  0.4472  0.0437  0.13
Fou 1978   53  0.2156  0.0055  0.0466  0.0482  0.0373  0.03
Francois 1956   20  0.3232  0.009  0.2017  0.5422  0.5512  0.54
Friedman 1923   60  0.1948  0.0061  0.0459  0.0463  0.0658  0.05
Friedman 1923b   63  0.1771  0.0070  0.0368  0.0366  0.0566  0.04
Friedman 1930   61  0.1867  0.0063  0.0457  0.0463  0.0563  0.04
Garcia 2007   52  0.2113  0.0043  0.0643  0.1565  0.0545  0.09
Garcia 2007b   86  0.0690  0.0083  0.0285  0.0273  0.0483  0.03
Gierzod 1998   11  0.3618  0.008  0.2511  0.6310  0.688  0.65
Gornostaeva 1994   29  0.2880  0.0035  0.0831  0.3939  0.2320  0.30
Groot 1988   42  0.2344  0.0030  0.1330  0.4365  0.0633  0.16
Harasiewicz 1955   49  0.2229  0.0057  0.0552  0.0578  0.0368  0.04
Hatto 1993   46  0.2334  0.0056  0.0463  0.0470  0.0567  0.04
Hatto 1997   37  0.2421  0.0049  0.0646  0.0654  0.0652  0.06
Horowitz 1949   75  0.1349  0.0076  0.0280  0.0274  0.0476  0.03
Indjic 1988   62  0.1757  0.0069  0.0279  0.0274  0.0478  0.03
Kapell 1951   87  0.0568  0.0091  0.0191  0.0182  0.0290  0.01
Kissin 1993   66  0.1661  0.0068  0.0370  0.0371  0.0562  0.04
Kushner 1989   36  0.2581  0.0045  0.0645  0.1281  0.0349  0.06
Luisada 1991   80  0.1162  0.0084  0.0188  0.0178  0.0484  0.02
Lushtak 2004   38  0.2458  0.0040  0.0840  0.2257  0.0543  0.10
Malcuzynski 1961   24  0.3130  0.0018  0.1418  0.5233  0.2119  0.33
Magaloff 1978   19  0.3369  0.0020  0.1219  0.5141  0.2318  0.34
Magin 1975   82  0.0972  0.0073  0.0282  0.0269  0.0472  0.03
Michalowski 1933   78  0.1282  0.0080  0.0371  0.0376  0.0477  0.03
Milkina 1970   65  0.1673  0.0054  0.0464  0.0448  0.0850  0.06
Mohovich 1999   13  0.348  0.0012  0.139  0.6619  0.4811  0.56
Moravec 1969   18  0.3383  0.0026  0.0824  0.4855  0.0434  0.14
Morozova 2008   15  0.335  0.0116  0.1426  0.4738  0.1521  0.27
Neighaus 1950   10  0.3811  0.0014  0.1710  0.6551  0.0824  0.23
Niedzielski 1931   32  0.2636  0.0025  0.0828  0.4650  0.0730  0.18
Ohlsson 1999   39  0.2450  0.0048  0.0555  0.0571  0.0461  0.04
Osinska 1989   48  0.2274  0.0051  0.0550  0.0551  0.0653  0.05
Pachmann 1927   54  0.2131  0.0058  0.0556  0.0548  0.0751  0.06
Paderewski 1930   34  0.2684  0.0036  0.0533  0.3161  0.0635  0.14
Perlemuter 1992   57  0.2075  0.0039  0.0739  0.2566  0.0441  0.10
Pierdomenico 2008   59  0.1937  0.0064  0.0367  0.0365  0.0471  0.03
Poblocka 1999   83  0.0891  0.0078  0.0281  0.0279  0.0470  0.03
Rabcewiczowa 1932   16  0.3319  0.0019  0.1021  0.5024  0.5613  0.53
Rachmaninoff 1923   40  0.236  0.0124  0.0834  0.3041  0.1626  0.22
Rangell 2001   17  0.3315  0.0011  0.1314  0.5817  0.4216  0.49
Richter 1976   50  0.2276  0.0065  0.0462  0.0456  0.0654  0.05
Rosen 1989   9  0.3812  0.0015  0.1513  0.5938  0.2817  0.41
Rosenthal 1930   4  0.5123  0.005  0.384  0.822  0.824  0.82
Rosenthal 1931   2  0.702  0.152  0.702  0.953  0.961  0.95
Rosenthal 1931b   1  0.751  0.681  0.671  0.953  0.962  0.95
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   3  0.683  0.083  0.803  0.933  0.953  0.94
Rossi 2007   81  0.1035  0.0060  0.0649  0.0626  0.2638  0.12
Rubinstein 1939   30  0.2728  0.0032  0.1036  0.2735  0.1529  0.20
Rubinstein 1952   51  0.2222  0.0037  0.0735  0.3064  0.0440  0.11
Rubinstein 1966   12  0.3524  0.0022  0.1216  0.5558  0.0532  0.17
Schilhawsky 1960   85  0.0685  0.0090  0.0190  0.0184  0.0291  0.01
Shebanova 2002   64  0.1770  0.0072  0.0276  0.0268  0.0681  0.03
Smith 1975   25  0.2917  0.0017  0.1220  0.5017  0.5015  0.50
Sokolov 2002   45  0.2326  0.0047  0.0551  0.0545  0.0848  0.06
Sztompka 1959   14  0.3414  0.0021  0.1415  0.5647  0.1023  0.24
Tomsic 1995   28  0.287  0.0129  0.1722  0.4941  0.1222  0.24
Uninsky 1932   55  0.2040  0.0062  0.0554  0.0564  0.0555  0.05
Uninsky 1971   23  0.3163  0.0027  0.0923  0.4851  0.0731  0.18
Wasowski 1980   79  0.1151  0.0085  0.0283  0.0272  0.0569  0.03
Zak 1937   76  0.1264  0.0081  0.0372  0.0372  0.0374  0.03
Zak 1951   74  0.1465  0.0077  0.0277  0.0273  0.0385  0.02
Average   5  0.4710  0.004  0.265  0.7752  0.0628  0.21
Random 1   89  0.0386  0.0088  0.0287  0.0219  0.3347  0.08
Random 2   91  0.0045  0.0089  0.0189  0.0158  0.0587  0.02
Random 3   90  0.0152  0.0067  0.0465  0.0412  0.4736  0.14

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).