Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.5179  0.0049  0.0647  0.0669  0.0366  0.04
Anderszewski 2003   46  0.5314  0.0039  0.0636  0.1755  0.0438  0.08
Ashkenazy 1981   19  0.6174  0.0035  0.0524  0.2847  0.0530  0.12
Bacha 2000   70  0.4011  0.0187  0.0286  0.0284  0.0286  0.02
Badura 1965   45  0.5318  0.0010  0.1415  0.3917  0.408  0.39
Barbosa 1983   79  0.3088  0.0079  0.0283  0.0277  0.0289  0.02
Biret 1990   55  0.5055  0.0058  0.0364  0.0374  0.0383  0.03
Blet 2003   51  0.5183  0.0055  0.0551  0.0572  0.0363  0.04
Block 1995   42  0.5475  0.0043  0.0444  0.0943  0.1134  0.10
Blumental 1952   74  0.3420  0.0066  0.0363  0.0366  0.0382  0.03
Boshniakovich 1969   34  0.5759  0.0027  0.0735  0.1844  0.1029  0.13
Brailowsky 1960   58  0.5037  0.0062  0.0366  0.0371  0.0470  0.03
Bunin 1987   22  0.5960  0.0022  0.0822  0.3137  0.1618  0.22
Bunin 1987b   24  0.5935  0.0021  0.0823  0.3037  0.1617  0.22
Chiu 1999   83  0.2453  0.0070  0.0367  0.0375  0.0373  0.03
Cohen 1997   72  0.3729  0.0071  0.0380  0.0346  0.0568  0.04
Cortot 1951   23  0.5921  0.0031  0.0539  0.1255  0.0541  0.08
Csalog 1996   71  0.3756  0.0086  0.0287  0.0259  0.0477  0.03
Czerny 1949   30  0.5861  0.0024  0.0718  0.3649  0.0627  0.15
Czerny 1990   21  0.6076  0.0033  0.0532  0.2156  0.0437  0.09
Duchoud 2007   39  0.5647  0.0056  0.0457  0.0459  0.0467  0.04
Ezaki 2006   13  0.6724  0.0014  0.1110  0.4741  0.0919  0.21
Falvay 1989   27  0.5915  0.0038  0.0626  0.2451  0.0531  0.11
Farrell 1958   35  0.5731  0.0052  0.0459  0.0476  0.0375  0.03
Ferenczy 1958   59  0.4946  0.0073  0.0372  0.0360  0.0478  0.03
Fliere 1977   7  0.7158  0.009  0.1511  0.4741  0.1216  0.24
Fou 1978   41  0.5565  0.0036  0.0528  0.2240  0.1820  0.20
Francois 1956   17  0.6213  0.0018  0.0817  0.3640  0.1121  0.20
Friedman 1923   85  0.2357  0.0061  0.0455  0.0430  0.2535  0.10
Friedman 1923b   84  0.2468  0.0060  0.0362  0.0330  0.2340  0.08
Friedman 1930   66  0.4340  0.0028  0.0629  0.2226  0.3212  0.27
Garcia 2007   82  0.2971  0.0074  0.0373  0.0365  0.0481  0.03
Garcia 2007b   87  0.0938  0.0084  0.0285  0.0256  0.0485  0.03
Gierzod 1998   11  0.678  0.0217  0.0821  0.3344  0.0925  0.17
Gornostaeva 1994   8  0.7148  0.008  0.167  0.5815  0.366  0.46
Groot 1988   12  0.6732  0.0011  0.129  0.4834  0.1711  0.29
Harasiewicz 1955   64  0.4517  0.0012  0.1116  0.3835  0.1615  0.25
Hatto 1993   76  0.3239  0.0081  0.0376  0.0363  0.0384  0.03
Hatto 1997   73  0.3673  0.0080  0.0381  0.0385  0.0290  0.02
Horowitz 1949   36  0.5642  0.0030  0.0534  0.1837  0.1326  0.15
Indjic 1988   75  0.3384  0.0082  0.0374  0.0376  0.0288  0.02
Kapell 1951   37  0.5680  0.0064  0.0453  0.0463  0.0459  0.04
Kissin 1993   28  0.5822  0.0037  0.0527  0.2357  0.0433  0.10
Kushner 1989   9  0.6826  0.0013  0.1213  0.4041  0.1614  0.25
Luisada 1991   69  0.4089  0.0078  0.0282  0.0275  0.0387  0.02
Lushtak 2004   57  0.5041  0.0034  0.0538  0.1471  0.0346  0.06
Malcuzynski 1961   6  0.7544  0.007  0.148  0.5318  0.367  0.44
Magaloff 1978   5  0.776  0.045  0.205  0.6613  0.415  0.52
Magin 1975   40  0.5519  0.0041  0.0637  0.1550  0.0536  0.09
Michalowski 1933   81  0.2962  0.0040  0.0640  0.1269  0.0442  0.07
Milkina 1970   18  0.6166  0.0045  0.0552  0.0558  0.0550  0.05
Mohovich 1999   25  0.5936  0.0029  0.0631  0.2164  0.0339  0.08
Moravec 1969   49  0.5223  0.0067  0.0368  0.0349  0.0469  0.03
Morozova 2008   60  0.4933  0.0025  0.0625  0.2854  0.0432  0.11
Neighaus 1950   16  0.6310  0.0120  0.0819  0.3546  0.0628  0.14
Niedzielski 1931   63  0.4652  0.0072  0.0379  0.0348  0.0558  0.04
Ohlsson 1999   31  0.579  0.0153  0.0454  0.0468  0.0376  0.03
Osinska 1989   29  0.5830  0.0047  0.0649  0.0649  0.0547  0.05
Pachmann 1927   78  0.3272  0.0069  0.0377  0.0345  0.0661  0.04
Paderewski 1930   20  0.605  0.0523  0.0733  0.1928  0.1823  0.18
Perlemuter 1992   43  0.5334  0.0019  0.0820  0.3441  0.1022  0.18
Pierdomenico 2008   52  0.5149  0.0048  0.0646  0.0656  0.0448  0.05
Poblocka 1999   26  0.5954  0.0063  0.0365  0.0351  0.0471  0.03
Rabcewiczowa 1932   67  0.4250  0.0077  0.0369  0.0374  0.0374  0.03
Rachmaninoff 1923   54  0.5128  0.0026  0.0630  0.2135  0.1424  0.17
Rangell 2001   32  0.5743  0.0032  0.0441  0.1154  0.0543  0.07
Richter 1976   47  0.5381  0.0042  0.0543  0.1065  0.0352  0.05
Rosen 1989   33  0.5727  0.0050  0.0648  0.0649  0.0453  0.05
Rosenthal 1930   1  0.861  0.431  0.424  0.721  0.744  0.73
Rosenthal 1931   2  0.802  0.142  0.432  0.793  0.782  0.78
Rosenthal 1931b   3  0.793  0.113  0.441  0.803  0.781  0.79
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   4  0.797  0.034  0.323  0.783  0.763  0.77
Rossi 2007   86  0.2163  0.0057  0.0460  0.0454  0.0372  0.03
Rubinstein 1939   80  0.3067  0.0085  0.0284  0.0240  0.1349  0.05
Rubinstein 1952   62  0.4782  0.0075  0.0378  0.0350  0.0756  0.05
Rubinstein 1966   48  0.5269  0.0065  0.0361  0.0355  0.0564  0.04
Schilhawsky 1960   14  0.6512  0.0115  0.0712  0.4334  0.2110  0.30
Shebanova 2002   65  0.4551  0.0076  0.0370  0.0377  0.0380  0.03
Smith 1975   15  0.654  0.066  0.166  0.5837  0.189  0.32
Sokolov 2002   10  0.6845  0.0016  0.0714  0.4041  0.1713  0.26
Sztompka 1959   44  0.5325  0.0051  0.0645  0.0645  0.0745  0.06
Tomsic 1995   38  0.5685  0.0044  0.0642  0.1176  0.0344  0.06
Uninsky 1932   77  0.3277  0.0068  0.0371  0.0373  0.0379  0.03
Uninsky 1971   61  0.4878  0.0059  0.0456  0.0454  0.0562  0.04
Wasowski 1980   68  0.4064  0.0083  0.0375  0.0346  0.0657  0.04
Zak 1937   56  0.5090  0.0054  0.0458  0.0465  0.0460  0.04
Zak 1951   50  0.5286  0.0046  0.0550  0.0561  0.0551  0.05
Random 1   90  -0.0187  0.0090  0.0190  0.0125  0.2354  0.05
Random 2   89  0.0070  0.0089  0.0189  0.0130  0.1865  0.04
Random 3   88  0.0916  0.0088  0.0288  0.0236  0.1455  0.05

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).